Detection device and method and storage medium

Abstract

The invention provides a detection device and method and a storage medium, and the detection device comprises an obtaining module which is used for obtaining a medical image of an initial physiological tissue; the recognition module is used for recognizing corresponding coloring characteristic parameters in the coloring process of the initial physiological tissue according to the medical image if the diffused coloring agent exists in the initial physiological tissue in the medical image; the extraction module is used for extracting a target medical image of a dyed target physiological tissue from the medical image of the initial physiological tissue according to the coloring characteristic parameters and a preset coloring characteristic threshold value so as to identify a diseased tissue in the target medical image, the preset coloring characteristic threshold value is used for indicating the identified lightest dyeing degree of the colored tissue. According to the method, the situation that the diagnosis and treatment time of a patient is prolonged due to low pathological analysis efficiency caused by collaborative biopsy of multiple departments can be avoided.

Description

Technical Field

[0001] This application relates to the field of information processing technologies, and particularly to a detection device, a method, and a computer-readable storage medium. Background Art

[0002] With the development of ultrasound technology, ultrasound-guided percutaneous biopsy has become a very mature and very important diagnostic technique. Ultrasound-guided percutaneous biopsy can better improve the effect of observing puncture and biopsy, and avoid the complications of puncture and biopsy. Ultrasound-guided puncture and biopsy belong to interventional ultrasound, which is to puncture living tissues under the real-time monitoring and guidance of an ultrasound instrument to obtain cell and pathological diagnoses.

[0003] However, currently, when performing pathological analysis on ultrasound-guided percutaneous biopsy, it takes a long time for cell staining (generally more than two days) to meet the standard of clear display of tissue and cell structures. Then, doctors observe under a microscope for pathological analysis. The entire biopsy process needs to be carried out across departments, such as being jointly completed by the ultrasound department, the pathology department, and other relevant clinical departments, resulting in a very long pathological analysis time. Moreover, if there is an abnormal biopsy result and re-biopsy is required, the patient also needs to re-appoint the time for biopsy, which will also affect the doctor's timely diagnosis and treatment of the patient.

[0004] It can be seen that on the one hand, the cell staining time is relatively long; on the other hand, the entire biopsy analysis process needs to be jointly completed by multiple departments. The above two reasons lead to very low efficiency of percutaneous biopsy. Summary of the Invention

[0005] Embodiments of this application provide a detection device, a method, and a computer-readable storage medium, aiming to identify diseased tissues by the detection device according to weak staining signals, saving the staining waiting time, and at the same time, without the participation of multiple departments, effectively shortening the pathological analysis time and improving the diagnostic efficiency.

[0006] In a first aspect, embodiments of this application provide a detection device, including:

[0007] An acquisition module, configured to acquire medical images of an initial physiological tissue;

[0008] An identification module, configured to, if there is a diffused stain in the initial physiological tissue in the medical image, identify corresponding coloring characteristic parameters during the coloring process of the initial physiological tissue according to the medical image;

[0009] An extraction module, configured to extract a target medical image of a stained target physiological tissue from a medical image of the initial physiological tissue according to the coloring feature parameter and a preset coloring feature threshold, so as to identify a diseased tissue in the target medical image, where the preset coloring feature threshold is used to indicate the slightest degree of staining at which a stained tissue can be identified.

[0010] Optionally, the coloring feature parameter includes: the number of colored cells, the coloring duration, and the stain intensity of the physiological tissue coloring;

[0011] The identification module includes:

[0012] A first extraction unit, configured to set the colored tissue as the target physiological tissue and obtain a target medical image of the target physiological tissue if the number of colored cells of the colored tissue in the initial physiological tissue is greater than the coloring number threshold in the preset coloring feature threshold, the coloring duration is greater than the coloring duration threshold in the preset coloring feature threshold, and / or the stain intensity is greater than the intensity threshold in the preset coloring feature threshold.

[0013] Optionally, the detection device further includes:

[0014] A feature detection module, configured to detect cell feature information corresponding to the stained target physiological tissue according to the target medical image, where the cell feature information includes a stained cell boundary and stained cell activity;

[0015] A first threshold adjustment module, configured to adjust the preset coloring feature threshold if at least one of the stained cell boundary and the stained cell activity does not meet the corresponding preset coloring standard;

[0016] A second extraction module, configured to extract a target medical image of a newly stained target physiological tissue from a medical image of the initial physiological tissue according to the adjusted preset coloring feature threshold.

[0017] Optionally, the first threshold adjustment module further includes:

[0018] A first adjustment unit, configured to increase the coloring number threshold in the preset coloring feature threshold according to the number of stained cells, so as to increase the number of extracted stained target physiological tissues; and / or,

[0019] A second adjustment unit, configured to increase the coloring duration threshold in the preset coloring feature threshold according to the corresponding coloring duration of the stained cells, so as to increase the number of extracted stained target physiological tissues; and / or,

[0020] A third adjustment unit, configured to increase a preset intensity threshold in the preset coloring feature threshold according to the corresponding stain intensity of the stained cells, so as to increase the coloring degree of the extracted stained target physiological tissue.

[0021] Optionally, the detection device further includes:

[0022] A lesion analysis module, configured to obtain a lesion analysis result according to the medical image of the lesion tissue, where the lesion analysis result includes the number of lesion cells;

[0023] A second threshold adjustment module, configured to, if the difference in the number between the number of lesion cells and a reference number of lesions is less than a preset number range, adjust the preset coloring feature threshold according to the difference in the number, where the reference number of lesions is used to indicate a positive pathological result or a negative pathological result.

[0024] Optionally, the detection device further includes:

[0025] A second recognition module, configured to recognize feature information of target cells in the target physiological tissue according to the target medical image, where the feature information includes at least one of the number information, size information, and distribution information of the target cells;

[0026] A lesion detection module, configured to determine a lesion tissue in the target medical image according to the feature information and the corresponding preset feature threshold.

[0027] Optionally, the detection device further includes:

[0028] A second acquisition module, configured to, if there is no lesion tissue in the target physiological tissue, acquire a scanned image of a biopsy object to which the target physiological tissue belongs, and calculate orientation information of the target physiological tissue in the coordinate system of the biopsy object according to the scanned image;

[0029] A third extraction module, configured to perform a live extraction on the biopsy object according to the orientation information to obtain a new initial physiological tissue, and stain the new initial physiological tissue to obtain a new medical image.

[0030] Optionally, the detection device further includes:

[0031] A scaling module, configured to adjust the display size of the target medical image and / or pixel parameters in the target medical image in response to an image scaling adjustment instruction.

[0032] In a second aspect, an embodiment of the present application provides a detection method, including:

[0033] Acquiring a medical image of an initial physiological tissue;

[0034] If there is a diffused dye in the initial physiological tissue in the medical image, identify the corresponding coloring feature parameters during the coloring process of the initial physiological tissue according to the medical image;

[0035] Extract the target medical image of the stained target physiological tissue from the medical image of the initial physiological tissue according to the coloring feature parameters and a preset coloring feature threshold, so as to identify the diseased tissue in the target medical image, where the preset coloring feature threshold is used to indicate the mildest staining degree at which the stained tissue can be identified.

[0036] Optionally, the coloring feature parameters include: the number of colored cells, the coloring duration, and the intensity of the dye for coloring the physiological tissue;

[0037] The extracting the target medical image of the stained target physiological tissue from the medical image of the initial physiological tissue according to the coloring feature parameters and a preset coloring feature threshold includes:

[0038] If the number of colored cells of the colored tissue in the initial physiological tissue is greater than the coloring number threshold in the preset coloring feature threshold, the coloring duration is greater than the coloring duration threshold in the preset coloring feature threshold, and / or the intensity of the dye is greater than the intensity threshold in the preset coloring feature threshold, set the colored tissue as the target physiological tissue, and obtain the target medical image of the target physiological tissue.

[0039] In a third aspect, an embodiment of the present application provides a computer-readable storage medium, including a processor and a memory, where the memory stores multiple instructions; the processor loads the instructions from the memory to execute the steps of the above detection device.

[0040] In a fourth aspect, an embodiment of the present application provides a computer program product, including a computer program, where the computer program is stored in a computer-readable storage medium; when a processor of an electronic device reads the computer program from the computer-readable storage medium, the processor executes the computer program, so that the electronic device executes the steps of the above detection method.

[0041] The beneficial effects of the embodiments of the present application:

[0042] Compared with the complete staining of the living body to be detected in the prior art, in the initial physiological tissue coloring process of the embodiments of the present application, the initial physiological tissue is stained according to the slightest staining intensity that the stained tissue can be recognized, and the target medical image of the stained target physiological tissue is extracted to identify the diseased tissue. Thus, on the one hand, the present application can shorten the staining duration of the physiological tissue. On the other hand, the present application does not require the cooperation of multiple departments anymore, and the entire biopsy analysis process can be completed on only one detection device. Thus, the present application greatly shortens the pathological analysis duration, while ensuring the accuracy of pathological detection, it also improves the diagnosis efficiency. Moreover, even if a second biopsy is required subsequently, it can be quickly completed on the detection device, avoiding delaying the diagnosis and treatment progress of the patient. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following described drawings are only some embodiments of the present application. For those skilled in the art, without creative efforts, other drawings can be obtained according to these drawings.

[0044] Figure 1 It is the first schematic diagram of the structure of the detection device provided in the embodiments of the present application;

[0045] Figure 2 It is the schematic diagram of cell staining provided in the embodiments of the present application;

[0046] Figure 3 It is the second schematic diagram of the structure of the detection device provided in the embodiments of the present application;

[0047] Figure 4 It is the schematic diagram of the detection process provided in the embodiments of the present application;

[0048] Figure 5 It is the schematic diagram of the structure of the electronic device provided in the embodiments of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0049] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present application without creative efforts belong to the scope of protection of the present application. In addition, it should be understood that the specific implementation manners described herein are only used to illustrate and explain the present application, and are not used to limit the present application. In the present application, unless otherwise stated, the orientation words such as "upper" and "lower" generally refer to the upper and lower in the actual use or working state of the device, specifically the drawing direction in the drawings; while "inner" and "outer" refer to the outline of the device. At the same time, in the description of the embodiments of the present application, the terms "first", "second", etc. are only used for distinguishing descriptions, and cannot be understood as indicating or implying relative importance. Thus, the features defined with "first", "second" may explicitly or implicitly include one or more features. In the description of the embodiments of the present application, "a plurality" means two or more, unless otherwise specifically defined.

[0050] With the development of ultrasound technology, ultrasound-guided percutaneous biopsy has become a very mature and very important diagnostic technique. Ultrasound-guided percutaneous biopsy is a medical diagnostic technique that uses ultrasound imaging to guide doctors in collecting tissue samples, usually used to examine various organs such as the liver, kidney, thyroid, lymph nodes, etc. to determine whether there are tumors or other lesions. Ultrasound-guided percutaneous biopsy can better improve the effect of observing puncture and biopsy and avoid complications of puncture and biopsy.

[0051] However, currently, when performing pathological analysis on ultrasound-guided percutaneous biopsy, it takes a long time for cell staining (generally more than two days), and after the staining is completed, doctors need to observe under a microscope. This cell staining method will lead to problems such as long pathological analysis time and high doctor observation fatigue. In addition, if re-biopsy is required due to abnormal biopsy results, patients need to undergo re-biopsy again, which affects the doctor's timely diagnosis and treatment of patients.

[0052] Therefore, to solve the above problems, in the embodiments of the present application, a detection device, method, computer-readable storage medium, and computer program product are proposed, aiming to effectively shorten the staining duration of biological tissues without affecting the detection accuracy.

[0053] Specifically, for example, the detection device in the embodiments of the present application may at least include the following modules:

[0054] An acquisition module, configured to acquire medical images of the initial biological tissue;

[0055] It should be noted that in this embodiment, the initial physiological tissue can be understood as the physiological tissue to be detected. For example, under ultrasonic guidance, breast ultrasound puncture biopsy is performed to obtain the cells to be detected (i.e., the initial physiological tissue in this embodiment). After staining the cells to be detected and placing them under a microscope, the corresponding medical image is obtained. That is, the initial physiological tissue in this embodiment can be the stained cells to be detected.

[0056] On this basis, the acquisition module in the detection device can obtain the medical image of the initially physiological tissue that can be stained.

[0057] An identification module, configured to, if there is a diffused stain in the initially physiological tissue in the medical image, identify the corresponding staining characteristic parameters during the coloring process of the initially physiological tissue according to the medical image;

[0058] In this embodiment, the detection device further includes an identification module. During the staining process of the initially physiological tissue, the stain will continuously diffuse in the cells. At this time, the identification module can identify the corresponding staining characteristic parameters during the coloring process of the initially physiological tissue, where the staining characteristic parameters include at least one of the number of stained cells and the staining duration.

[0059] It can be understood that in this embodiment, it is not necessary to stain all the cells in the initially physiological tissue. It is only necessary that the number of stained cells and / or the staining duration meet the standard, which greatly shortens the staining time.

[0060] Optionally, in this embodiment, the cells in the target area of the initially physiological tissue can be stained. Among them, the target area can be identified by a preset lesion identification model, and the target area can be the diseased area of the physiological tissue. In this way, the identification module can stain some of the cells in the above target area.

[0061] An extraction module, configured to extract the target medical image of the stained target physiological tissue from the medical image of the initially physiological tissue according to the staining characteristic parameters and a preset staining characteristic threshold, so as to identify the diseased tissue in the target medical image, where the preset staining characteristic threshold is used to indicate the slightest staining degree at which the stained tissue can be identified.

[0062] In this embodiment, the detection device may further include an extraction module. The extraction module can extract the target medical image of the stained target physiological tissue from the medical image of the initially physiological tissue according to the above staining characteristic parameters and the corresponding preset staining characteristic threshold.

[0063] It should be noted that, in this embodiment, the preset coloring feature threshold can be used to indicate the slightest staining intensity at which the stained tissue can be recognized. That is, the stained cells can be used for in-vivo detection at this staining intensity. For example, the cells with the slightest staining intensity can be used to identify the diseased tissue in the initial physiological tissue. Thus, in this embodiment, it is not necessary to completely stain all the cells in the initial physiological tissue, as Figure 2 shown, but instead, when the cells are slightly or partially stained, the target medical image of the stained target physiological tissue can be used to identify the diseased tissue.

[0064] Among them, this embodiment can use a pre-trained cell recognition model to identify the diseased tissue in the stained target medical image.

[0065] It is worth noting that, in this embodiment, since an acquisition module, an identification module, and an extraction module can be set in the detection device, the detection device can complete in-vivo puncture extraction, staining, and diseased tissue analysis without the need for multiple devices to work together, significantly improving the detection and analysis efficiency and effectively saving labor costs.

[0066] Therefore, in this embodiment, the acquisition module in the detection device can obtain the medical image of the initial physiological tissue to be stained, the identification module can identify the coloring feature parameters corresponding to the coloring process of the initial physiological tissue, and the extraction module can extract the target medical image of the stained target physiological tissue from the medical image of the initial physiological tissue according to the above coloring feature parameters and the corresponding preset coloring feature threshold, so as to identify the diseased tissue from the target medical image. It can be seen that compared with the complete staining of the in-vivo sample to be detected in the prior art, in the coloring process of the initial physiological tissue in this application embodiment, the initial physiological tissue is stained according to the slightest staining intensity at which the stained tissue can be recognized, so that the extraction module can extract the target medical image of the stained target physiological tissue for identifying the diseased tissue. Thus, this application can greatly shorten the staining duration of the physiological tissue, and this application does not require the cooperation of multiple departments anymore, and the entire biopsy analysis process can be completed on only one detection device. Thus, this application greatly shortens the pathological analysis duration, improves the diagnosis efficiency while ensuring the pathological detection accuracy, and even if a second biopsy is required later, it can be quickly completed, avoiding delaying the patient's diagnosis and treatment progress.

[0067] Optionally, the above coloring feature parameters include: the number of colored cells, the coloring duration, and the intensity of the staining agent for coloring;

[0068] The above identification module further includes:

[0069] A first extraction unit, configured to set the stained tissue as the target physiological tissue and obtain a target medical image of the target physiological tissue if the number of stained cells in the stained tissue of the initial physiological tissue is greater than the staining cell number threshold in the preset staining feature threshold, the staining duration is greater than the staining duration threshold in the preset staining feature threshold, and / or the stain intensity is greater than the intensity threshold in the preset staining feature threshold.

[0070] It should be noted that in this embodiment, according to the above description, it is not necessary to stain all cells in the initial physiological tissue, but instead, staining feature parameters can be preset, and the staining feature parameters include but are not limited to the number of stained cells, the staining duration, and the stain intensity.

[0071] On this basis, the first extraction unit can determine whether the number of stained cells in the stained tissue of the initial physiological tissue is greater than the staining cell number threshold in the preset staining feature threshold, whether the staining duration is greater than the staining duration threshold in the preset staining feature threshold, and / or whether the stain intensity is greater than the intensity threshold in the preset staining feature threshold.

[0072] If it is determined that the number of stained cells in the stained tissue is greater than the staining cell number threshold in the preset staining feature threshold, the staining duration is greater than the staining duration threshold in the preset staining feature threshold, and / or the stain intensity is greater than the intensity threshold in the preset staining feature threshold, then the stained tissue is set as the target physiological tissue, and a target medical image of the target physiological tissue is obtained.

[0073] Among them, in this embodiment, image analysis software (such as ImageJ, CellProfiler, AxioVision, etc.) can be used to analyze the image of the stained tissue to obtain the corresponding staining intensity, and when the staining intensity is greater than the slightest staining intensity at which the stained tissue can be recognized (i.e., the intensity threshold in this embodiment), the stained tissue is set as the target physiological tissue.

[0074] Optionally, the detection device in this embodiment, such as Figure 3 as shown, may further include:

[0075] A feature detection module, configured to adjust the preset staining feature threshold if at least one of the stained cell boundary and the stained cell activity does not meet the corresponding preset staining standard;

[0076] A first threshold adjustment module, configured to adjust the preset staining feature threshold if at least one of the stained cell boundary, the stained cell activity, and the stain intensity does not meet the corresponding preset staining standard;

[0077] A second extraction module, configured to extract a target medical image of a newly stained target physiological tissue from a medical image of the initial physiological tissue according to the adjusted preset coloring feature threshold.

[0078] In this embodiment, since only some cells are stained, in order to ensure the accuracy of pathological detection, after obtaining the target medical image of the stained target physiological tissue, the feature detection module can identify the cell feature information of the stained target physiological tissue in the target medical image, where the cell feature information includes but is not limited to at least one of the stained cell boundary, stained cell activity, and the staining agent intensity corresponding to the stained cells.

[0079] Furthermore, the first threshold adjustment module can determine whether at least one of the above-mentioned stained cell boundary, stained cell activity, and staining agent intensity meets the corresponding preset coloring standard.

[0080] For example, it can be determined whether the stained cell boundary meets the corresponding preset coloring standard (the preset coloring standard at this time can be that the stained cell boundary is greater than the preset boundary threshold, and the preset boundary threshold can be used to ensure that the proportion of stained cells in the initial physiological tissue is sufficient for the identification of diseased tissues), or it can be determined whether the stained cell activity meets the corresponding preset coloring standard (the preset coloring standard at this time can be that the number of active cells in the stained cells is greater than the preset number to ensure the activity of the stained cells and not affect the subsequent detection of diseased tissues), and / or it can also be determined whether the staining agent intensity meets the corresponding preset coloring standard (the preset coloring standard at this time can be that the staining agent intensity is greater than the preset intensity threshold to ensure that the cells are stained to a degree that can be recognized).

[0081] On this basis, if it is determined that at least one of the stained cell boundary, stained cell activity, and staining agent intensity does not meet the corresponding preset coloring standard, the preset coloring feature threshold can be adjusted.

[0082] Furthermore, the second extraction module can re-extract a target medical image of a newly stained target physiological tissue from a medical image of the initial physiological tissue according to the new preset coloring feature threshold, so as to use the new target medical image for the identification of diseased tissues.

[0083] Optionally, the first threshold adjustment module further includes:

[0084] A first adjustment unit, configured to increase the coloring quantity threshold in the preset coloring feature threshold according to the number of stained cells, so as to increase the number of extracted stained target physiological tissues;

[0085] A second adjustment unit, configured to increase the coloring duration threshold in the preset coloring feature threshold according to the corresponding coloring duration of the stained cells, so as to increase the number of stained target physiological tissues extracted; and / or,

[0086] A third adjustment unit, configured to increase the preset intensity threshold in the preset coloring feature threshold according to the corresponding staining agent intensity of the stained cells, so as to increase the coloring degree of the stained target physiological tissue.

[0087] It should be noted that in this embodiment, according to the above description, if it is determined that at least one of the stained cell boundary, stained cell activity, and staining agent intensity does not meet the corresponding preset coloring standard, it means that the coloring degree of the cells in the tissue is insufficient. At this time, the preset coloring feature threshold can be adjusted to adjust the coloring degree of the cells.

[0088] On this basis, the first adjustment unit can increase the coloring quantity threshold in the preset coloring feature threshold according to the number of stained cells, so as to increase the number of stained target physiological tissues extracted; and / or,

[0089] The second adjustment unit can increase the coloring duration threshold in the preset coloring feature threshold according to the corresponding coloring duration of the stained cells, so as to increase the number of stained target physiological tissues extracted.

[0090] In addition to the above methods, the third adjustment unit can also adjust the preset intensity threshold in the preset coloring feature threshold according to the staining agent intensity of the stained cells, so as to enhance the stained target physiological tissue.

[0091] Therefore, this embodiment can shorten the staining duration while avoiding the detection accuracy of diseased tissues caused by incomplete staining, repeatedly optimize and adjust the preset coloring feature threshold, so that the number and coloring intensity of colored cells meet the detection requirements of diseased tissues, while taking into account the cell staining duration and pathological detection accuracy.

[0092] Optionally, the detection device in this embodiment may further include:

[0093] A lesion analysis module, configured to obtain a lesion analysis result according to the medical image of the diseased tissue, where the lesion analysis result includes the number of diseased cells;

[0094] A second threshold adjustment module, configured to adjust the preset coloring feature threshold according to the quantity difference if the quantity difference between the number of diseased cells and the diseased reference quantity is less than a preset quantity range, where the diseased reference quantity is used to indicate a positive lesion result and a negative lesion result.

[0095] It should be noted that in this embodiment, in pathological analysis, "negative" and "positive" can be used to describe pathological test results for patients' reference.

[0096] On this basis, in this embodiment, the lesion analysis module in the detection device can obtain a lesion analysis result according to the medical image of the lesion tissue, where the lesion analysis result includes the number of lesion cells. Furthermore, the second threshold adjustment module can detect whether the difference in the number of lesion cells and the reference number of lesions is less than a preset number range. If it is detected that the difference in the number of lesion cells and the reference number of lesions is less than the preset number range, it means that the number of lesion cells is very close to the reference number of lesions. Since the reference number of lesions is used to indicate a positive lesion result or a negative lesion result, it is easy to obtain an incorrect lesion analysis result at this time. For example, if the number of lesion cells is very close but has not reached the number of lesion cells corresponding to the positive lesion result, it is easy to misjudge the current pathological result as a positive pathological result at this time.

[0097] Thus, in order to improve the accuracy of lesion detection, in this embodiment, when it is detected that the number of lesion cells is very close to the reference number of lesions, the preset coloring feature threshold can be adjusted. For example, the coloring duration threshold in the preset coloring feature threshold can be extended to obtain a larger number of stained target physiological tissues, and then the number of lesion cells is counted again to obtain a positive pathological result or a negative pathological result.

[0098] Optionally, the detection device in this embodiment may further include:

[0099] A second recognition module, configured to recognize the tissue feature information of the target physiological tissue according to the target medical image, where the tissue feature information includes at least one of the number information, size information, and distribution information of the target cells;

[0100] A lesion detection module, configured to determine the lesion tissue in the target medical image according to the feature information and the corresponding preset feature threshold.

[0101] In this embodiment, after the extraction module extracts the target medical image of the stained target physiological tissue, the second recognition module can recognize the feature information of the target cells of the target physiological tissue in the target medical image, where the feature information includes at least one of the number information, size information, and distribution information of the target cells.

[0102] Among them, in this embodiment, the target cells can be malignant cells (i.e., cells that may have lesions) in the target physiological tissue.

[0103] For example, in this embodiment, if the lesion detection module detects that the number of target cells is greater than a preset feature threshold (specifically, a preset quantity threshold), the size information of the target cells is greater than a preset feature threshold (specifically, a preset size threshold), and the distribution information of the target cells is greater than a preset feature threshold (specifically, a preset distribution feature threshold), then it can be determined that the tissue composed of the above-mentioned target cells is a diseased tissue.

[0104] Optionally, the detection device in this embodiment further includes:

[0105] A second acquisition module, configured to, if there is no diseased tissue in the target physiological tissue, acquire a scanned image of the biopsy object to which the target physiological tissue belongs, and calculate the orientation information of the target physiological tissue in the biopsy object coordinate system according to the scanned image;

[0106] A third extraction module, configured to perform in vivo extraction on the biopsy object according to the orientation information to obtain a new initial physiological tissue, and stain the new initial physiological tissue to obtain a new medical image.

[0107] It should be noted that, in this embodiment, if no diseased tissue is detected in the target physiological tissue, at this time, ultrasound-guided percutaneous biopsy can be performed on the patient again, and a biopsy adjustment plan (such as adjustment of direction, position, etc.) can be given based on the previous pathological biopsy result, so as to obtain more accurate cells to be detected.

[0108] Specifically, for example, in this embodiment, the second acquisition module can determine whether there is diseased tissue in the target physiological tissue. If it is determined that there is no diseased tissue in the target physiological tissue, the relative orientation information between the target physiological tissue and the biopsy object can be acquired.

[0109] For example, when the biopsy object is the breast, a scanned image of the breast can be acquired, and then the orientation information of the target physiological tissue in the breast coordinate system can be calculated according to the scanned image.

[0110] Since no diseased tissue is detected in the target physiological tissue, other physiological tissues of the breast can be sampled. The orientation information of the target physiological tissue can guide the second extraction module to perform the next extraction of living cells to obtain a new initial physiological tissue. After staining the new initial physiological tissue, the microscope is controlled to acquire the stained initial physiological tissue to obtain a new medical image, so that the medical image of the new target physiological tissue with coloring can be extracted from the medical image for subsequent identification of diseased tissue.

[0111] It can be understood that since the physiological tissue in this embodiment is not completely stained, the staining duration is greatly shortened. Therefore, the next in-vivo extraction and lesion detection can be carried out quickly when no diseased tissue is detected, effectively improving the detection efficiency.

[0112] Optionally, the detection device in this embodiment further includes:

[0113] A zoom module for responding to an image zoom adjustment event and adjusting the display size of the target medical image and / or the pixel parameters in the target medical image.

[0114] In this embodiment, after the extraction module extracts the target medical image of the stained target physiological tissue from the medical image of the initial physiological tissue, the zoom module can respond to the image zoom adjustment event and adjust the display size of the target medical image and / or the pixel parameters in the target medical image to improve the display effect of the target medical image.

[0115] In one embodiment, this embodiment also provides a detection method, which can be applied to the detection device in the above embodiment, such as Figure 4 As shown, the detection method in this embodiment may include the following steps:

[0116] S10, obtaining a medical image of the initial physiological tissue;

[0117] S20, if there is a diffused stain in the initial physiological tissue in the medical image, identifying the corresponding coloring feature parameters during the coloring process of the initial physiological tissue according to the medical image;

[0118] S30, extracting the target medical image of the stained target physiological tissue from the medical image of the initial physiological tissue according to the coloring feature parameters and a preset coloring feature threshold to identify the diseased tissue in the target medical image, where the preset coloring feature threshold is used to indicate the slightest staining degree at which the stained tissue can be identified.

[0119] In this embodiment, the detection device can obtain the medical image of the initial physiological tissue to be stained.

[0120] Among them, during the staining process of the initial physiological tissue, the stain will continuously diffuse in the cells. At this time, the detection device can identify the corresponding coloring feature parameters during the coloring process of the initial physiological tissue, where the coloring feature parameters include but are not limited to at least one of the number of colored cells, the coloring duration, and the stain intensity.

[0121] It can be understood that in this embodiment, it is not necessary to stain all cells in the initial physiological tissue, and only the number of colored cells, the coloring duration, and / or the stain intensity need to meet the standards, greatly shortening the staining duration.

[0122] Furthermore, the detection device can also extract the target medical image of the stained target physiological tissue from the medical image of the initial physiological tissue according to the above-mentioned coloring feature parameters and the corresponding preset coloring feature thresholds.

[0123] It should be noted that, in this embodiment, the preset coloring feature threshold can be used to indicate the slightest staining intensity at which the stained tissue can be recognized, that is, the stained cells can be used for in vivo detection at this staining intensity. For example, the diseased tissue in the initial physiological tissue can be recognized by using the cells with the slightest staining intensity. Thus, in this embodiment, it is not necessary to completely stain all cells in the initial physiological tissue, but when the cells are slightly or partially stained, the target medical image of the stained target physiological tissue can be used to recognize the diseased tissue. Among them, in this embodiment, a pre-trained cell recognition model can be used to recognize the diseased tissue in the stained target medical image.

[0124] Optionally, the coloring feature parameters include: the number of colored cells, the coloring duration, and the staining agent intensity of the physiological tissue coloring. On this basis, in the above S30, "extracting the target medical image of the stained target physiological tissue from the medical image of the initial physiological tissue according to the coloring feature parameters and the preset coloring feature threshold" may include:

[0125] S301, if the number of colored cells of the colored tissue in the initial physiological tissue is greater than the coloring number threshold in the preset coloring feature threshold, the coloring duration is greater than the coloring duration threshold in the preset coloring feature threshold, and / or the staining agent intensity is greater than the intensity threshold in the preset coloring feature threshold, then set the colored tissue as the target physiological tissue and obtain the target medical image of the target physiological tissue.

[0126] It should be noted that, in this embodiment, according to the above description, it is not necessary to stain all cells in the initial physiological tissue, but the coloring feature parameters can be preset, and the coloring feature parameters include, but are not limited to, the number of colored cells, the coloring duration, and the staining agent intensity.

[0127] On this basis, the detection device can determine whether the number of colored cells of the colored tissue in the initial physiological tissue is greater than the coloring number threshold in the preset coloring feature threshold, whether the coloring duration is greater than the coloring duration threshold in the preset coloring feature threshold, and / or whether the staining agent intensity is greater than the intensity threshold in the preset coloring feature threshold.

[0128] If it is determined that the number of stained cells in the stained tissue is greater than the staining cell number threshold in the preset staining feature threshold, the staining duration is greater than the staining duration threshold in the preset staining feature threshold, and / or the staining agent intensity is greater than the intensity threshold in the preset staining feature threshold, then the stained tissue is set as the target physiological tissue, and the target medical image of the target physiological tissue is obtained.

[0129] Among them, in this embodiment, image analysis software (such as ImageJ, CellProfiler, AxioVision, etc.) can be used to analyze the image of the stained tissue to obtain the corresponding staining intensity. When the staining intensity is greater than the slightest staining intensity at which the stained tissue can be recognized (i.e., the intensity threshold in this embodiment), the stained tissue is set as the target physiological tissue.

[0130] It can be seen that compared with the complete staining of the living body to be detected in the prior art, in the initial physiological tissue staining process of this application embodiment, the initial physiological tissue is stained according to the slightest staining intensity at which the stained tissue can be recognized, so that the extraction module can extract the target medical image of the stained target physiological tissue for the identification of diseased tissues. In this way, this application can greatly shorten the staining duration of physiological tissues, and at the same time ensure the detection accuracy and diagnosis efficiency of diseased tissues, without wasting time waiting for tissue staining and delaying the diagnosis and treatment progress of patients.

[0131] Correspondingly, this application embodiment also provides an electronic device, such as Figure 5 shown Figure 5 is a schematic structural diagram of the electronic device provided by this application embodiment. The electronic device 1100 includes a processor 1101 with one or more processing cores, a memory 1102 with one or more computer-readable storage media, and a computer program stored on the memory 1102 and executable on the processor. Among them, the processor 1101 is electrically connected to the memory 1102. Those skilled in the art can understand that the structure of the electronic device shown in the figure does not constitute a limitation on the electronic device, and it may include more or fewer components than shown in the figure, or combine some components, or arrange different components.

[0132] The processor 1101 is the control center of the electronic device 1100, connecting various parts of the entire electronic device 1100 through various interfaces and circuits. By running or loading software programs and / or units stored in the memory 1102, and by invoking the data stored in the memory 1102, it executes various functions of the electronic device 1100 and processes data, thereby monitoring the entire electronic device 1100. The processor 1101 can be a central processing unit (CPU), a graphics processing unit (GPU), a network processor (NP), etc., and can implement or execute the various methods, steps, and logic block diagrams disclosed in the embodiments of the present application.

[0133] In the embodiments of the present application, the processor 1101 in the electronic device 1100 will load the instructions corresponding to the processes of one or more application programs into the memory 1102 according to the following steps, and the processor 1101 will run the application programs stored in the memory 1102 to implement various functions, such as:

[0134] Obtain a medical image of the initial physiological tissue;

[0135] If there is a diffused stain in the initial physiological tissue in the medical image, then according to the medical image, identify the corresponding staining characteristic parameters during the coloring process of the initial physiological tissue;

[0136] According to the staining characteristic parameters and a preset staining characteristic threshold, extract the target medical image of the stained target physiological tissue from the medical image of the initial physiological tissue to identify the diseased tissue in the target medical image, where the preset staining characteristic threshold is used to indicate the mildest staining degree at which the stained tissue can be identified.

[0137] For the specific implementation of each of the above operations, reference may be made to the previous embodiments, and details will not be elaborated here.

[0138] Optionally, as Figure 5 shown, the electronic device 1100 further includes: a touch display screen 1103, a radio frequency circuit 1104, an audio circuit 1105, an input unit 1106, and a power supply 1107. Among them, the processor 1101 is electrically connected to the touch display screen 1103, the radio frequency circuit 1104, the audio circuit 1105, the input unit 1106, and the power supply 1107 respectively. Those skilled in the art can understand that Figure 5 the structure of the electronic device shown in

[0139] The touch display screen 1103 can be used to display a graphical user interface and receive operation instructions generated by a user's interaction with the graphical user interface. The touch display screen 1103 may include a display panel and a touch panel. Among them, the display panel can be used to display information input by the user or information provided to the user, as well as various graphical user interfaces of the electronic device. These graphical user interfaces can be composed of graphics, text, icons, videos, and any combination thereof. Optionally, the display panel can be configured in the form of a liquid crystal display (LCD), an organic light-emitting diode (OLED), or the like. The touch panel can be used to collect touch operations of the user on or near it (such as operations of the user using a finger, a stylus, or any suitable object or accessory on or near the touch panel), and generate corresponding operation instructions, and the operation instructions execute the corresponding program. Optionally, the touch panel can include two parts: a touch detection device and a touch controller. Among them, the touch detection device detects the touch position of the user and detects the signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device, converts it into contact coordinates, and then sends it to the processor 1101, and can receive and execute the commands sent by the processor 1101. The touch panel can cover the display panel. After the touch panel detects a touch operation on or near it, it is transmitted to the processor 1101 to determine the type of touch event. Subsequently, the processor 1101 provides a corresponding visual output on the display panel according to the type of touch event. In the embodiments of the present application, the touch panel and the display panel can be integrated into the touch display screen 1103 to implement input and output functions. However, in some embodiments, the touch panel and the touch panel can be implemented as two independent components to implement input and output functions. That is, the touch display screen 1103 can also be used as part of the input unit 1106 to implement the input function.

[0140] The radio frequency circuit 1104 can be used to transmit and receive radio frequency signals to establish wireless communication with a network device or other electronic devices through wireless communication, and transmit and receive signals with the network device or other electronic devices.

[0141] The audio circuit 1105 can be used to provide an audio interface between the user and the electronic device through a speaker and a microphone. The audio circuit 1105 can transmit the electrical signal converted from the received audio data to the speaker, which converts it into a sound signal for output; on the other hand, the microphone converts the collected sound signal into an electrical signal, which is received by the audio circuit 1105 and then converted into audio data. After the audio data is output and processed by the processor 1101, it is sent through the radio frequency circuit 1104 to, for example, another electronic device, or the audio data is output to the memory 1102 for further processing. The audio circuit 1105 may also include an earphone jack to provide communication between the peripheral earphone and the electronic device.

[0142] The input unit 1106 can be used to receive input digital, character information or user characteristic information (such as fingerprint, iris, facial information, etc.), and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function controls.

[0143] The power supply 1107 is used to supply power to each component of the electronic device 1100. Optionally, the power supply 1107 can be logically connected to the processor 1101 through a power management device, so as to realize functions such as management of charging, discharging, and power consumption management through the power management device. The power supply 1107 may also include any components such as one or more DC or AC power supplies, a recharge system, a power failure detection circuit, a power converter or inverter, and a power status indicator.

[0144] Although Figure 5 not shown in the figure, the electronic device 1100 may also include a camera, a sensor, a Wi-Fi module, a Bluetooth module, etc., which will not be elaborated here.

[0145] In the above embodiments, the descriptions of the respective embodiments have their own emphases. For parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0146] Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed through instructions, or through instructions to control relevant hardware. The instructions can be stored in a computer-readable storage medium and loaded and executed by a processor.

[0147] For this reason, an embodiment of the present application provides a computer-readable storage medium, in which multiple computer programs are stored. The computer programs can be loaded by a processor to execute any method provided by the embodiment of the present application. The computer programs can execute the steps of the following method:

[0148] Obtain a medical image of the initial physiological tissue;

[0149] If there is a diffused dye in the initial physiological tissue in the medical image, identify the corresponding coloring feature parameters during the coloring process of the initial physiological tissue according to the medical image.

[0150] Extract the target medical image of the stained target physiological tissue from the medical image of the initial physiological tissue according to the coloring feature parameters and a preset coloring feature threshold, to identify the diseased tissue in the target medical image, where the preset coloring feature threshold is used to indicate the slightest staining degree at which the stained tissue can be identified.

[0151] For the specific implementation of each of the above operations, reference can be made to the previous embodiments, which will not be elaborated here.

[0152] Among them, the computer-readable storage medium may include: read-only memory (ROM, Read Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disc, etc.

[0153] Since the computer program stored in the computer-readable storage medium can execute any method provided in the embodiments of the present application, the beneficial effects achievable by any method provided in the embodiments of the present application can be realized. For details, reference can be made to the previous embodiments, which will not be elaborated here.

[0154] In the above detection method, electronic device, computer-readable storage medium, and computer program product, each embodiment description has its own emphasis. For parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments. Those skilled in the art can clearly understand that for the sake of convenience and brevity of description, the specific working processes and the beneficial effects brought by the above-described detection method, electronic device, computer-readable storage medium, and computer program product and their corresponding units can refer to the descriptions of the above detection devices in the above embodiments, which will not be elaborated here specifically. In the above detection method, electronic device, computer-readable storage medium, and computer program product, each embodiment description has its own emphasis. For parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments. Those skilled in the art can clearly understand that for the sake of convenience and brevity of description, the specific working processes and the beneficial effects brought by the above-described detection method, electronic device, computer-readable storage medium, and computer program product and their corresponding units can refer to the descriptions of the above detection devices in the above embodiments, which will not be elaborated here specifically.

[0155] The above has introduced in detail a detection device, method, electronic device, computer-readable storage medium and computer program product provided by the embodiments of the present application. Specific examples are used in this article to elaborate on the principle and implementation manner of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for those skilled in the art, according to the idea of the present application, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation to the present application.

Claims

1. A detection device, characterized in that, The detection device includes: An acquisition module, configured to acquire medical images of an initial physiological tissue; An identification module, configured to, if there is a diffused stain in the initial physiological tissue in the medical images, identify corresponding coloring feature parameters during the coloring process of the initial physiological tissue according to the medical images; An extraction module, configured to extract a target medical image of a stained target physiological tissue from the medical images of the initial physiological tissue according to the coloring feature parameters and a preset coloring feature threshold, so as to identify a diseased tissue in the target medical image, where the preset coloring feature threshold is used to indicate the slightest staining degree at which a stained tissue can be identified.

2. The detection device according to claim 1, wherein, The coloring feature parameters include: the number of colored cells, the coloring duration, and the stain intensity of the physiological tissue coloring; The identification module includes: A first extraction unit, configured to, if the number of colored cells of the colored tissue in the initial physiological tissue is greater than the coloring number threshold in the preset coloring feature threshold, the coloring duration is greater than the coloring duration threshold in the preset coloring feature threshold, and / or the stain intensity is greater than the intensity threshold in the preset coloring feature threshold, set the colored tissue as the target physiological tissue, and acquire a target medical image of the target physiological tissue.

3. The detection device according to claim 2, characterized in that, The detection device further includes: A feature detection module, configured to detect cell feature information corresponding to the stained target physiological tissue according to the target medical image, where the cell feature information includes the boundaries of stained cells and the activity of stained cells; A first threshold adjustment module, configured to adjust the preset coloring feature threshold if at least one of the stained cell boundaries and the stained cell activity does not meet the corresponding preset coloring standard; A second extraction module, configured to extract a target medical image of a newly stained target physiological tissue from the medical images of the initial physiological tissue according to the adjusted preset coloring feature threshold.

4. The detection device according to claim 3, wherein The first threshold adjustment module further includes: A first adjustment unit, configured to increase the coloring number threshold in the preset coloring feature threshold according to the number of stained cells, so that the number of extracted stained target physiological tissues increases; and / or A second adjustment unit, configured to increase the coloring duration threshold in the preset coloring feature threshold according to the corresponding coloring duration of the stained cells, so that the number of extracted stained target physiological tissues increases; and / or A third adjustment unit, configured to increase the intensity threshold in the preset coloring feature threshold according to the coloring intensity corresponding to the stained cells, so that the coloring degree of the extracted stained target physiological tissues increases.

5. The detection device according to claim 1, characterized in that, The detection device further includes: A lesion analysis module, configured to obtain a lesion analysis result according to the medical images of the diseased tissue, where the lesion analysis result includes the number of diseased cells; A second threshold adjustment module, configured to adjust the preset coloring feature threshold according to the quantity difference if the quantity difference between the number of diseased cells and a lesion reference quantity is less than a preset quantity range, where the lesion reference quantity is used to indicate a positive pathological result or a negative pathological result.

6. The detection device according to claim 1, characterized in that, The detection device further includes: A second recognition module, configured to recognize characteristic information of target cells in the target physiological tissue according to the target medical image, where the characteristic information includes at least one of the number information, size information, and distribution information of the target cells; A lesion detection module, configured to determine a diseased tissue in the target medical image according to the characteristic information and a corresponding preset characteristic threshold.

7. The detection device according to claim 6, characterized in that, The detection device further includes: A second acquisition module, configured to, if there is no diseased tissue in the target physiological tissue, acquire a scanned image of a biopsy object to which the target physiological tissue belongs, and calculate orientation information of the target physiological tissue in the biopsy object coordinate system according to the scanned image; A third extraction module, configured to perform a live extraction on the biopsy object according to the orientation information to obtain a new initial physiological tissue, and stain the new initial physiological tissue to obtain a new medical image.

8. A detection method, characterized in that, The detection method is applied to the detection device according to any one of claims 1-7 above, and the method includes: Acquiring a medical image of an initial physiological tissue; If there is a diffused staining agent in the initial physiological tissue in the medical image, recognizing a corresponding coloring feature parameter during the coloring process of the initial physiological tissue according to the medical image; Extracting a target medical image of a stained target physiological tissue from the medical image of the initial physiological tissue according to the coloring feature parameter and a preset coloring feature threshold to recognize a diseased tissue in the target medical image, where the preset coloring feature threshold is used to indicate the slightest degree of staining at which a stained tissue can be recognized.

9. The detection method according to claim 8, wherein The coloring feature parameter includes: the number of colored cells, the coloring duration, and the intensity of the staining agent for coloring the physiological tissue; The extracting a target medical image of a stained target physiological tissue from the medical image of the initial physiological tissue according to the coloring feature parameter and a preset coloring feature threshold includes: If the number of colored cells of the stained tissue in the initial physiological tissue is greater than the coloring number threshold in the preset coloring feature threshold, the coloring duration is greater than the coloring duration threshold in the preset coloring feature threshold, and / or the intensity of the staining agent is greater than the intensity threshold in the preset coloring feature threshold, setting the stained tissue as the target physiological tissue, and acquiring a target medical image of the target physiological tissue.

10. A computer-readable storage medium, characterized in that, It includes a computer program, and when the computer program runs on an electronic device, the computer program is used to cause the electronic device to execute the steps of the method according to any one of claims 8-9.

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