Method and device for generating visible component detection graph report

Abstract

In the method and the device for generating the visible component detection graph report, visible components are detected; outputting a graphic report file of the preset detection item according to the preset detection item; printing and outputting a graphic report file according to an external command; the graphic report file comprises at least one detection item graphic display area, and the detection item graphic display area comprises at least one microscopic subgraph of a detection target; the microscopic sub-images are selected local microscopic images in the microscopic images. In the device, a graphic report management module outputs a graphic report file of a preset detection item according to the preset detection item; the graphic report file comprises at least one detection item graphic display area, and the detection item graphic display area comprises at least one microscopic subgraph of a detection target; the microscopic sub-images are selected local microscopic images in the microscopic images; the storage module comprises at least one standard microscopic subgraph; the standard microscopic subgraph is used for being displayed in the detection item graph display area.

Description

Technical Field

[0001] This application belongs to the field of formed element analysis technology, and specifically relates to a method, apparatus, and computing and storage device for generating a formed element detection graphic report. Background Technology

[0002] In existing technologies, the items and formats output in various test reports are usually fixed, making on-site selection impossible. While some reports allow for item selection, certain reference value ranges are typically unmodifiable, and detailed sub-graphs and their reference figures cannot be provided.

[0003] However, there are many types of output items for formed element analysis. Applicants use the computing power of artificial intelligence (AI) to perform various formed element analyses, many of which are non-routine output items. Therefore, it is necessary to provide users with richer and more flexible interfaces to ensure that the content of the report output is necessary and required, and to enable efficient automatic modification of text and graphics, reducing the workload of adjusting the report output. Summary of the Invention

[0004] In this application, the inventors proposed a method and apparatus for generating graphic reports of formed element detection, which combines text and graphics in the report and allows for more flexible selection of output images.

[0005] The technical solution of this application to solve the above-mentioned technical problems is a method for generating a graphic report of formed element detection, which includes formed element detection; outputting a graphic report file of the preset detection items according to preset detection items; printing the graphic report file according to an external command; the graphic report file includes at least one graphic display area of ​​the detection item, and the graphic display area of ​​the detection item includes at least one microscopic sub-image of the detection target; the microscopic sub-image is a selected local microscopic image in the microscopic image.

[0006] The graphic display area of ​​the above-mentioned detection items includes at least one standard micrograph, which is pre-set in the formed element detection equipment.

[0007] The above-mentioned method for generating graphical reports for formed component detection also includes: previewing and displaying the graphical report; displaying and outputting the graphical report file; allowing the user to select to enter the detection item state for resetting the graphical report output; in the detection item state for resetting the graphical report output, the user can select whether to output graphical detection results for a detection item; allowing the user to select to enter the state for optimizing the detection item sub-image; in the state for optimizing the detection item sub-image, the user can select whether to output and display a microscopic sub-image of a detection target.

[0008] In the reset of the graphic report output, users can drag and drop the inspection items to adjust their order; in the optimization of the inspection item sub-images, users can drag and drop the microscopic sub-images to adjust their order.

[0009] The aforementioned graphical report file also includes a data list, which includes the detection items and their corresponding detection results; it includes any one or more of the following features: Feature TA1: When the graphical report output state is set, if a detection item is enabled to output graphical detection results, the data list will automatically add the detection results of the aforementioned detection item; Feature TA2: When the graphical report output state is set, if a detection item is disabled to output graphical detection results, the data list will automatically delete the detection results of the aforementioned detection item.

[0010] The aforementioned graphical report file also includes a data list, which includes the test items and their corresponding test results. When resetting the test item status of the graphical report output, after changing whether a test item outputs graphical test results, the aforementioned data list will change accordingly, allowing the corresponding test item in the test item to be added to or excluded from the data list.

[0011] The aforementioned graphical report file also includes a data list, which includes the detection items and their corresponding detection results; it also includes the optimization of the detection item subgraph status. In optimizing the detection item subgraph status, the attribute labels of one or a class of subgraphs can be changed. The detection results of the corresponding detection items in the aforementioned data list will change accordingly based on the changes in the attribute labels of the aforementioned subgraphs.

[0012] The above-mentioned method for generating graphical reports for formed element detection includes any one of the following technical features: Feature TA1: Changing the attribute label of one or a class of sub-images changes the species category of a cell; Feature TA2: Changing the attribute label of one or a class of sub-images changes the category of a cell; Feature TA3: Changing the attribute label of one or a class of sub-images changes the white blood cell category of a cell; Feature TA4: Changing the attribute label of one or a class of sub-images changes the abnormal category corresponding to a red blood cell sub-image.

[0013] The above-mentioned method for generating graphic reports for formed element detection includes any one of the following technical features: Feature TB1: Changing the attribute label of one or a class of subgraphs, including changing an unknown category of formed element to a specific category.

[0014] The above-mentioned formed element detection can be any one of blood, feces, urine, or body cavity fluid detection.

[0015] The subgraph with the changed attribute labels and the changed attribute labels are sent to the web server, which then retrains the AI ​​data to obtain updated AI recognition feature data.

[0016] Before the network server retrains the AI ​​data, the sub-graphs with changed attribute labels are manually interpreted to verify the modified attribute labels and obtain updated AI recognition feature data.

[0017] The technical solution of this application to solve the above-mentioned technical problems can also be a formed element detection device, including a detection module, a graphic report management module, and a display module; the detection module is used for formed element detection; the detection module is electrically connected to the graphic report management module; the graphic report management module is electrically connected to the display module; the display module supports graphic report display; the graphic report management module includes a storage module; the graphic report management module outputs a graphic report file of a preset detection item according to the preset detection item; the graphic report file includes at least one graphic display area of ​​the detection item, and the graphic display area of ​​the detection item includes at least one microscopic sub-image of the detection target; the aforementioned microscopic sub-image is a selected local microscopic image in the microscopic image;

[0018] The storage module includes at least one standard micrograph; the standard micrograph is used to display in the graphic display area of ​​the inspection item.

[0019] The standard micrograph can be updated via the network; the graphic report management module can print out the above graphic report file according to external commands.

[0020] The technical solution of this application to solve the above-mentioned technical problem can also be a computing processing device, including any one of the following technical features: TD1: for running all or part of the above-mentioned method; TD2: the memory of the above-mentioned computing processing device includes all or part of the data of the above-mentioned method.

[0021] The technical solution of this application to solve the above-mentioned technical problems can also be a data storage device, including any one of the following technical features: TE1: storing all or part of the program code for executing the above method; TE2: storing all or part of the data of the above method.

[0022] The technical solution of this application to solve the above-mentioned technical problems can also be a detection device, used to perform part or all of the above-mentioned methods, or to store all or part of the data of the above-mentioned methods.

[0023] The technical effects of the above technical solution include: the graphic display area of ​​the detection project includes at least one microscopic sub-image of the detection target; the microscopic sub-image is a selected local microscopic image in the microscopic image; the image obtained by real-time detection can be used to output the report, so that the report combines text and graphics and can make the selection of output images more flexible.

[0024] The technical effects of the above solution include: standard micrographs, which are pre-set in the formed element detection equipment; these standard micrographs provide report readers with tangible visual references and comparisons, facilitating accurate understanding and interpretation of the report. The technical effects of the above solution also include: the output report of formed element analysis is presented in a combined text and image format. Many items are non-standard output items; to help readers better understand and compare, the applicant provides standard micrographs as a reference. The standard micrographs can also be modified and adjusted; when an unknown item becomes a known item, the output items in the phase can be added or removed in real time.

[0025] The technical effects of the above technical solution include: displaying a graphical report preview, providing an entry point for resetting the detection items in the graphical report output, which is conducive to flexibly selecting and setting different output items, making the report output more flexible.

[0026] The technical effects of the above technical solution include: optimizing the state of the detection item sub-image, allowing users to select whether to output and display a microscopic sub-image of a detection target; and providing an interface for optimizing the graphic display state.

[0027] The technical effects of the above solution include: when resetting the output of the graphic report, users can drag and drop the inspection items to adjust their order; when optimizing the sub-images of the inspection items, users can drag and drop the microscopic sub-images to adjust their order. This drag-and-drop adjustment facilitates operation.

[0028] The technical effects of the above solution include: when resetting the status of the detection items in the graphical report output, after changing whether a detection item outputs graphical detection results, the data list changes accordingly, and the corresponding detection items in the detection items can be added to or excluded from the data list; it can realize the linkage between graphical and data list items, and the machine can automatically associate them without separate settings and adjustments, which is more efficient and convenient.

[0029] The technical effects of the above solution include: in optimizing the subgraph status of the detection project, the user can change the attribute label of one or a class of subgraphs, and the detection results of the corresponding detection projects in the data list will change accordingly based on the change of the attribute label of the subgraph; it can realize the linkage between the graph and the data list items, and the machine can automatically realize the association without separate settings and adjustments, which is more efficient and convenient.

[0030] The technical effects of the above solution include: changing the attribute labels of one or more subgraphs, such as changing the species category of a cell; the cell category; the white blood cell category; and the anomaly category corresponding to the red blood cell subgraph. Multiple adjustments and changes can be linked together, significantly improving the efficiency of report adaptation.

[0031] The technical effects of the above-mentioned technical solution include: changing the attribute labels of one or a class of subgraphs, including changing the formed elements of unknown categories to specific categories, and flexibly adding some items that were originally unknown but were later identified to the project, which greatly improves the upward compatibility of the report.

[0032] The technical advantages of the above-mentioned technical solution include: the detection of formed elements can be any one of blood, feces, urine, or body cavity fluid; the reports include multiple types and can be flexibly adapted.

[0033] The technical effects of the above solution include: sending the sub-image with the changed attribute labels and the changed attribute labels to a web server, which then retrains the AI ​​data to obtain updated AI recognition feature data. The newly obtained image data can be collected efficiently and manually interpreted by experts on the network, improving the accuracy of modifications.

[0034] The technical effects of the above-mentioned technical solution include: the formed element detection device can realize the above method and flexibly output reports with adjustable and changeable output items and formats. Attached Figure Description

[0035] Figures 1 to 3 These are schematic diagrams 1 and 2 of the method for generating graphic reports for formed element detection.

[0036] Figure 4 This is one of the sub-images in the formed component detection graphic report;

[0037] Figure 5 This is the second sub-image of the formed component detection graphic report;

[0038] Figure 6 It is a partial sub-image in the process of generating a graphical report for formed element detection;

[0039] Figure 7 This is one of the data lists in the graphical report of formed element detection;

[0040] Figure 8 This is sub-image 3 of the graphical report of formed component detection;

[0041] Figure 9 This is sub-image 4 of the graphical report of formed component detection;

[0042] Figure 10 This is the second data list in the formed element detection graphic report. Detailed Implementation

[0043] The contents of this application will be further described in detail below with reference to the accompanying drawings. It should be noted that the following description is of preferred embodiments of the present invention and does not constitute any limitation on the present invention. The description of the preferred embodiments of the present invention is merely an explanation of the general principles of the invention. The designations "first," "second," "A," and "B" used in this invention are for ease of explanation only and do not represent a temporal or spatial order. The combinations of letters and numbers "TA," "TB," and "H" used in this invention are for ease of explanation only, and their specific meanings are determined by the specific terms they represent.

[0044] like Figure 1 and Figure 4 In one embodiment of a method for generating a graphic report for shaped element detection, shaped elements are detected; a graphic report file for the preset detection items is output according to preset detection items; the graphic report file is printed according to an external command; the graphic report file includes at least one graphic display area for the detection items, and the graphic display area for the detection items includes at least one microscopic sub-image of the detection target; the microscopic sub-image is a selected local microscopic image in a microscopic image.

[0045] like Figure 1 and Figure 4 In one embodiment of a method for generating a graphical report for formed element detection, the graphical display area of ​​the detection item includes at least one standard micrograph, which is pre-set in the formed element detection device. Figure 4 The numbers 110, 120, 130, 140, and 150 are all standard micrographs. Each number represents a standard micrograph corresponding to a specific project.

[0046] Figure 4 Images numbered 115, 125, 135, 145, and 155 are selected local microscopic images from those obtained in this measurement.

[0047] like Figure 2 In one embodiment of a method for generating a graphical report for formed element detection, the method further includes displaying a graphical report preview; displaying and outputting the graphical report file; and wherein some parts are as follows: Figure 4 and Figure 5 As shown.

[0048] like Figure 2In one embodiment of a method for generating graphical reports for formed component detection, the user can choose to enter a state for resetting the graphical report output of the detection items. In this state, the user can select whether to output graphical detection results for a particular detection item. When the graphical report output is set in this state, enabling graphical detection results for a detection item automatically adds the results to the data list. Conversely, disabling graphical detection results for a detection item automatically deletes the results from the data list.

[0049] like Figure 2 In one embodiment of a method for generating a graphic report of formed element detection, the user can choose to enter the optimized detection item sub-image state. In the optimized detection item sub-image state, the user can choose whether to output and display a microscopic sub-image of a detection target.

[0050] like Figure 2 In one embodiment of a method for generating a formed component detection graphic report, resetting the detection item status of the graphic report output and optimizing the detection item subgraph status can be done in parallel, without distinguishing the order. Alternatively, the detection item status of the graphic report output can be reset first, followed by the optimization of the detection item subgraph status. Or, the detection item subgraph status can be optimized first, followed by the reset of the detection item status of the graphic report output.

[0051] like Figure 6 In one embodiment of a method for generating a graphical report for formed element detection, the user can choose to enter a state for resetting the output of the graphical report. In this state, the user can choose whether to output graphical detection results for a particular detection item. Figure 6 In the display panel for each item, a checkmark in the upper right corner indicates that the micrograph is selected, while an X indicates that it is not selected. You can use the checkmarks to choose whether to output the micrograph of that item in the graphic report.

[0052] like Figure 5 In one embodiment of a method for generating a graphic report of formed element detection, the user can choose to enter the optimized detection item sub-image state. In the optimized detection item sub-image state, the user can choose whether to output and display a microscopic sub-image of a detection target. Figure 6 In the display panel, a checkmark in the upper right corner of each item indicates that the item is selected, while an X indicates that the item is not selected. You can use the checkmark to select whether to output the micrograph of the item in the graphic report.

[0053] like Figure 5 and Figure 6In one embodiment of a method for generating a shaped component detection graphic report, when resetting the status of the detection items in the graphic report output, the user can drag the detection items to adjust their order; when optimizing the sub-image status of the detection items, the user can drag the microscopic sub-images to adjust their order.

[0054] like Figure 7 , Figure 9 and Figure 10 In one embodiment of a method for generating a graphical report for formed element detection, the graphical report file further includes a data list, which includes detection items and corresponding detection results. When resetting the status of detection items in the graphical report output, after changing whether a detection item outputs a graphical detection result, the data list changes accordingly, allowing the corresponding detection item to be added to or excluded from the data list. Figure 7 Based on displaying the data list, Figure 9 The "Add to Item" button adds neutrophils with segmented neutrophils, while the "Exclude Item" button excludes neutrophils with band neutrophils. Figure 10 The project is missing the neutrophil band neutrophil category, and the neutrophil band neutrophil category is not shown in the micrograph.

[0055] conduct Figure 8 The "Add Project" button in the settings excludes segmented neutrophils, while the "Exclude Project" button excludes segmented neutrophils and does not display neutrophil micrographs. Consequently, the data list will be missing the "Segmented Neutrophils" and "Band Neutrophils" items, and their micrographs will not be displayed.

[0056] like Figures 7 to 10 In one embodiment of a method for generating a graphical report of formed elements detection, the graphical report file further includes a data list, which includes detection items and corresponding detection results. In optimizing the state of a subgraph of a detection item, the user can change the attribute label of one or a class of subgraphs, and the detection results of the corresponding detection items in the data list will change accordingly based on the change of the attribute label of the subgraph.

[0057] In some embodiments of the formed element detection graphic report generation method not shown in the accompanying figures, the above-mentioned change of the attribute label of one or a class of sub-images is to change the species category of a cell; the above-mentioned change of the attribute label of one or a class of sub-images is to change the category of a cell; the above-mentioned change of the attribute label of one or a class of sub-images is to change the white blood cell category of a cell; the above-mentioned change of the attribute label of one or a class of sub-images is to change the abnormal category corresponding to a red blood cell sub-image. The above-mentioned change of the attribute label of one or a class of sub-images includes changing an unknown category of formed element to a specific category. The above-mentioned formed element detection can be any one of blood, feces, urine, or body cavity fluid detection.

[0058] In some embodiments of the formed element detection graphic report generation method not shown in the accompanying figures, the sub-graph with the changed attribute label and the changed attribute label are sent to the web server. The web server then retrains the AI ​​data to obtain an updated version of the AI ​​recognition feature data.

[0059] In some embodiments of the formed element detection graphic report generation method not shown in the accompanying figures, before the web server retrains the AI ​​data, the sub-images with modified attribute labels are manually interpreted to verify the modified attribute labels and obtain updated AI recognition feature data. Attribute labels include judgments of positive or negative detection results, or other attributes. When the attribute judgment is based on the results of a doctor's interpretation of the image and finds discrepancies, an interface can be provided for modification, with the input of external experts taking precedence.

[0060] In one embodiment of a formed element detection device, there are a detection module, a graphic report management module, and a display module. The detection module is used for formed element detection. The detection module is electrically connected to the graphic report management module. The graphic report management module is electrically connected to the display module. The display module supports graphic report display. The graphic report management module includes a storage module. The graphic report management module outputs a graphic report file for a preset detection item according to the preset detection item. The graphic report file includes at least one graphic display area for the detection item, and the graphic display area for the detection item includes at least one micrograph of the detection target. The micrograph is a selected local micrograph from a microscopic image. The storage module includes at least one standard micrograph. The standard micrograph is used for display in the graphic display area for the detection item.

[0061] The standard micrograph can be updated via the network; the graphic report management module can print out the above graphic report file according to external commands.

[0062] A computing processing apparatus is used to run all or part of the above-described methods; the memory of the computing processing apparatus includes all or part of the data of the above-described methods.

[0063] A data storage device stores all or part of the program code for performing the above methods; and stores all or part of the data for performing the above methods.

[0064] A detection device for performing part or all of the above methods, or storing all or part of the data of the above methods.

[0065] While the invention has been described and illustrated with reference to preferred embodiments and several alternatives, it is not intended to be limited to the specific descriptions herein. Other alternatives or equivalent components may also be used to practice the invention.

Claims

1. A method for generating a graphical report of formed element detection, characterized in that, Formed component detection; Based on the preset test items, output a graphical report file of the preset test items; Print the graphical report file according to the external command; The graphic report file includes at least one graphic display area for the detected item, and the graphic display area for the detected item includes at least one microscopic sub-image of the detected target; the microscopic sub-image is a selected local microscopic image in the microscopic image.

2. The method for generating a morphological report for formed element detection according to claim 1, characterized in that, The graphic display area of ​​the detection item includes at least one standard micrograph, which is pre-set in the formed element detection device.

3. The method for generating a morphological report for morphological detection according to claim 1, characterized in that, It also includes displaying a graphical report preview; and displaying and outputting the graphical report file. Users can choose to enter the detection item reset graphical report output state. In the detection item reset graphical report output state, users can choose whether to output graphical detection results for a detection item. Users can choose to enter the optimized detection item sub-image state. In the optimized detection item sub-image state, users can choose whether to output and display a microscopic sub-image of a detection target.

4. The method for generating a morphological report for morphological component detection according to claim 3, characterized in that, When resetting the status of the detection items in the graphical report output, users can drag and drop the detection items to adjust their order. In the optimized detection item sub-image state, users can drag the microscopic sub-images to adjust their order.

5. The method for generating a shaped element detection graphic report according to claim 3, characterized in that, The graphical report file also includes a data list, which includes detection items and corresponding detection results; and includes any one or more of the following features: Feature TA1: When the graphical report output state is set, a detection item is enabled to output graphical detection results, and the detection results of the detection item are automatically added to the data list; Feature TA2: When the graphical report output state is set, if the graphical detection result of a detection item is turned off, the detection result of the detection item will be automatically deleted from the data list.

6. The method for generating a shaped element detection graphic report according to claim 3, characterized in that, The graphical report file also includes a data list, which includes detection items and corresponding detection results; it includes optimizing the subgraph status of detection items. In optimizing the subgraph status of detection items, the attribute labels of one or a class of subgraphs can be changed. The detection results of the corresponding detection items in the data list change accordingly based on the change of the attribute labels of the subgraphs.

7. The method for generating a shaped element detection graphic report according to claim 5, characterized in that, Includes any one of the following technical features: Feature TA1: Changing the attribute label of one or a class of subgraphs means changing the species category of a cell; Feature TA2: Changing the attribute label of one or a class of subgraphs means changing the category of a cell; Feature TA3: Changing the attribute label of one or a class of subgraphs means changing the white blood cell category of a cell; Feature TA4: Changing the attribute label of one or a class of subgraphs means changing the anomaly category corresponding to a red blood cell subgraph.

8. The method for generating a morphological report for formed element detection according to claim 5, characterized in that, Includes any one of the following technical features: Feature TB1: Changing the attribute label of a subgraph or a class of subgraphs includes changing the formed elements of unknown categories to specific categories.

9. The method for generating a formed element detection graphic report according to any one of claims 1 to 8, characterized in that, The formed element detection can be any one of blood, feces, urine, or body cavity fluid.

10. The method for generating a formed element detection graphic report according to claim 7 or 8, characterized in that, The subgraph with the changed attribute labels and the changed attribute labels are sent to the web server, which then retrains the AI ​​data to obtain updated AI recognition feature data.

11. The method for generating a formed element detection graphic report according to claim 10, characterized in that, Before the network server retrains the AI ​​data, the sub-graphs with changed attribute labels are manually interpreted to verify the modified attribute labels and obtain updated AI recognition feature data.

12. A formed element detection device, characterized in that, Includes a detection module, a graphic report management module, and a display module; The detection module is used for formed component detection; the detection module is electrically connected to the graphic report management module. The graphic report management module and the display module are electrically connected; The display module supports graphical report display; The graphical report management module includes a storage module; The graphic report management module outputs graphic report files for the preset detection items based on the preset detection items; The graphic report file includes at least one graphic display area for the detected item, and the graphic display area for the detected item includes at least one microscopic sub-image of the detected target; the microscopic sub-image is a selected local microscopic image in the microscopic image; The storage module includes at least one standard micrograph; Standard micrographs are used to display the images in the graphic display area of ​​the test items.

13. The formed element detection device according to claim 12, characterized in that, Standard micrographs can be updated via network; The graphic report management module can print out the graphic report file according to external commands.

14. A computing processing device, characterized in that, Includes any one of the following technical features: TD1: Used to perform all or part of the method according to any one of claims 1 to 11; TD2: The memory of the computing processing device includes all or part of the data of the method according to any one of claims 1 to 11.

15. A data storage device, characterized in that, Includes any one of the following technical features: TE1: Stores all or part of the program code for executing the training method according to any one of claims 1 to 11; TE2: Stores all or part of the data of the method according to any one of claims 1 to 11.

16. A detection device, characterized in that, Used to perform part or all of the method described in any one of claims 1 to 11; Or it may store all or part of the data of the method according to any one of claims 1 to 11.

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