Histopathology auxiliary diagnosis device and use mode thereof
By designing a histopathologically assisted diagnostic device containing a hyperspectral camera and deep learning model, the problem of difficulty in distinguishing malignant stereoscopic tissue in the prior art is solved, and accurate identification and auxiliary diagnosis of malignant tissue margins are achieved.
Patent Information
- Application Number
- CN202411519609.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-29
- Publication Date
- 2025-03-18
AI Technical Summary
Existing hyperspectral imaging technology is difficult to distinguish suspicious malignant stereoscopic tissue, which is not conducive to the auxiliary diagnosis of histopathology.
A histopathologically assisted diagnostic device is designed, including a box, lighting, a mobile platform, a working platform, a hyperspectral camera, a camera and a processor. By placing blank samples on the work platform simultaneously with tissue samples, providing full-spectral illumination, collecting hyperspectral and white light images, and processing the data, using deep learning models to identify benign and malignant tissue edges.
The accurate distinction between suspicious malignant ex vivo tissue is achieved, the purpose of assisting histopathological diagnosis is achieved, and the accuracy and efficiency of diagnosis are improved.
Smart Images

Figure CN119643471A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of medical devices, and in particular to a tissue pathology auxiliary diagnosis device and a use method thereof. Background Art
[0002] Hyperspectral imaging technology can simultaneously obtain two-dimensional images and spectral information of tissues, with high spatial resolution and spectral resolution, and can provide rich information for tissue pathology. This technology has important applications in distinguishing benign and malignant tissues, especially in the early diagnosis and treatment of cancer. Hyperspectral imaging technology distinguishes normal tissues from diseased tissues by analyzing the absorption and scattering characteristics of different tissues to light of specific wavelengths. Since various components in biological tissues, such as water, oxygenated / deoxygenated hemoglobin, melanin, lipids, etc., have different absorption coefficients, these characteristics can be used to identify and distinguish different tissue types.
[0003] In recent years, hyperspectral imaging technology has been increasingly used in clinical medicine, including skin trauma and healing process detection, diabetic foot and retinal disease diagnosis, intraoperative detection, and microcirculatory function evaluation. However, existing hyperspectral imaging technology is difficult to distinguish suspicious malignant three-dimensional tissues, which is not conducive to auxiliary diagnosis of tissue pathology. Summary of the invention
[0004] Therefore, the technical problem to be solved by the present invention is that the hyperspectral imaging technology in the prior art is difficult to distinguish suspicious malignant three-dimensional tissues, which is not conducive to the auxiliary diagnosis of tissue pathology, and thus provides a tissue pathology auxiliary diagnosis device and its use method.
[0005] In order to solve the above technical problems, the technical solution of the present invention is as follows:
[0006] A tissue pathology auxiliary diagnosis device, comprising:
[0007] A box body, an inner wall of which is provided with a lighting element, wherein the lighting element is suitable for providing full-spectrum lighting;
[0008] A mobile platform is installed on the box body, and includes a Y-axis driving component and a Z-axis driving component located in the box body;
[0009] A working platform is arranged at the bottom of the box body and connected to the Y-axis driving member; the working platform is suitable for placing tissue samples and blank samples;
[0010] A hyperspectral camera is disposed at the top of the box and connected to the Z-axis driving member, and the hyperspectral camera is suitable for collecting hyperspectral image data;
[0011] A camera is disposed at the top of the box and connected to the Z-axis driving member, wherein the camera is suitable for collecting white light images;
[0012] The processor is arranged at the bottom of the box and is suitable for processing the collected sample hyperspectral image data and blank sample hyperspectral image data.
[0013] Furthermore, a light scattering material layer is provided on the inner wall surface of the box; a sample placement area and a blank sample control area are provided on the working platform, the sample placement area is a diffuse reflection surface of a low-light reflection material, and the blank sample area is a diffuse reflection surface of a high-light reflection material.
[0014] Furthermore, the hyperspectral camera is provided with an automatic focusing structure.
[0015] Furthermore, an opening is provided at one end of the box body, and a box door is rotatably mounted on the opening; and the working platform is arranged at one end of the box body close to the opening.
[0016] Furthermore, the lighting component is a halogen lamp; halogen lamps are installed on the opposite sides of the inner wall of the box and on the side wall at one end away from the opening, and the two halogen lamps on the opposite sides of the inner wall of the box are both arranged close to the working platform.
[0017] Furthermore, the Y-axis driving component is installed on the Y-axis linear cylinder at the bottom of the box and the Y-axis slide installed on the driving shaft of the Y-axis linear cylinder; the bottom of the box is provided with a through groove corresponding to the Y-axis slide, the Y-axis slide is suitable for moving in the through groove, and the working platform is connected to the Y-axis slide.
[0018] Furthermore, it also includes a base installed at the bottom of the box, and the Y-axis linear cylinder is installed in the inner cavity of the base.
[0019] Furthermore, the Z-axis driving component is located at an end of the box away from the opening, and includes a vertically arranged Z-axis lifting cylinder, one end of the Z-axis lifting cylinder is fixed on the base, and the other end of the Z-axis lifting cylinder extends into the box. A mounting bracket located in the box is arranged on the driving shaft of the Z-axis lifting cylinder, and the end of the mounting bracket away from the Z-axis lifting cylinder extends toward the direction of the box opening, and the hyperspectral camera and the video camera are both installed on the end of the mounting bracket away from the Z-axis lifting cylinder.
[0020] Furthermore, it also includes a power supply module and a control module electrically connected to the processor, the power supply module is suitable for providing power supply to the lighting element, mobile platform, hyperspectral camera, video camera and processor, and the control module is suitable for control signals.
[0021] Furthermore, the method of using any one of the above-mentioned tissue pathology auxiliary diagnosis devices comprises the following steps:
[0022] S1: Spectral correction: Set a blank sample control area, place the collected blank sample hyperspectral image on the blank sample control area, use a lighting device with a spectrum, measure the spectrum of the blank sample hyperspectral image, and draw a spectral response curve. Apply the spectral response curve to obtain the corrected spectrum, thereby completing the spectral correction; (ensure that the detector responds consistently to light of different wavelengths)
[0023] S2: Data acquisition: hyperspectral images of tissue samples and blank samples are collected again;
[0024] S3: Preprocessing: adjust the size of the hyperspectral image of the blank sample and the hyperspectral image of the tissue sample to the same size; perform logarithmic transformation on the hyperspectral data of the tissue sample and the hyperspectral data of the blank sample pixel by pixel; subtract the logarithmic transformed tissue sample data from the logarithmic transformed blank sample data to obtain preprocessed data;
[0025] S4: Feature extraction: Select preprocessed data of specific bands according to the type of tissue sample;
[0026] S5: Image recognition: Using deep learning models, the boundaries of benign tissue and malignant tissue are identified, and hyperspectral images of benign tissue and malignant tissue are obtained respectively;
[0027] S6: Image display: The hyperspectral image, the standard white light image, and the mixed image of the hyperspectral image and the standard white light image are displayed on the processor interface.
[0028] The technical solution of the present invention has the following advantages:
[0029] 1. The tissue pathology auxiliary diagnosis device provided by the present invention places a blank sample and a tissue sample on a work platform at the same time, provides a spectrum through an illumination component, collects hyperspectral images of the blank sample and the tissue sample respectively through a hyperspectral camera, collects white light images through a camera to assist in hyperspectral data analysis, and processes the sample hyperspectral data and the blank sample hyperspectral data through a processor, thereby obtaining a hyperspectral image of the edge of benign tissue and a hyperspectral image of the edge of malignant tissue, thereby facilitating the distinction between suspicious malignant ex vivo tissues and achieving the purpose of assisting tissue pathology diagnosis.
[0030] 2. The tissue pathology auxiliary diagnosis device provided by the present invention has a light scattering material layer on the inner wall surface of the box. The light scattering material layer can reduce the hardness of direct light, make the light more uniform and soft, and optimize the lighting effect.
[0031] 3. In the tissue pathology auxiliary diagnosis device provided by the present invention, an automatic focusing structure is arranged on the hyperspectral camera. In this way, the automatic focusing structure can automatically adjust the distance between the camera and the sample by judging the lighting environment and the image clarity, thereby ensuring better clarity.
[0032] 4. The tissue pathology auxiliary diagnosis device provided by the present invention has an opening at one end of the box body, and a box door is rotatably mounted on the opening; the working platform is arranged at one end of the box body near the opening. In this arrangement, since the working platform is close to the box body opening, it is convenient to place samples on the working platform.
[0033] 5. The tissue pathology auxiliary diagnosis device provided by the present invention has a halogen lamp as the lighting component; halogen lamps are installed on both opposite sides of the inner wall of the box and on the side wall at one end away from the opening, and the two halogen lamps on both opposite sides of the inner wall of the box are arranged close to the working platform. Such an arrangement can prevent the light from directly irradiating the sample on the working platform and reduce the interference of the direct reflected light on the sample surface; the overall brightness of the scene can be increased by using multiple halogen lamps in different directions.
[0034] 6. The tissue pathology auxiliary diagnosis device provided by the present invention has a Y-axis driving member installed on the Y-axis linear cylinder at the bottom of the box and a Y-axis slide installed on the driving shaft of the Y-axis linear cylinder; a through slot corresponding to the Y-axis slide is opened at the bottom of the box, the Y-axis slide is suitable for moving in the through slot, and the working platform is connected to the Y-axis slide. With such a configuration, the working platform can drive the sample on it to move, thereby obtaining full-size hyperspectral data. BRIEF DESCRIPTION OF THE DRAWINGS
[0035] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0036] Figure 1 A three-dimensional structural diagram of a tissue pathology auxiliary diagnosis device provided by an embodiment of the present invention;
[0037] Figure 2 A schematic diagram of the internal structure of the tissue pathology auxiliary diagnosis device provided by an embodiment of the present invention;
[0038] Figure 3 A schematic cross-sectional view of a tissue pathology auxiliary diagnosis device provided by an embodiment of the present invention;
[0039] Figure 4 It is a three-dimensional structural diagram of the mobile platform in the present invention.
[0040] Explanation of the accompanying drawings: 1. Box body; 2. Lighting component; 3. Working platform; 4. Hyperspectral camera; 5. Camera; 6. Y-axis driving component; 7. Z-axis driving component; 8. Base; 9. Housing; 10. Chassis door; 11. Hinge; 12. Y-axis linear cylinder; 13. Y-axis slide; 14. Z-axis lifting cylinder; 15. Mounting frame; 16. Processor; 17. Power supply module. DETAILED DESCRIPTION
[0041] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0042] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and "third" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.
[0043] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.
[0044] In addition, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.
[0045] like Figure 1-Figure 4A tissue pathology auxiliary diagnosis device shown in the figure includes a box 1, a mobile platform, a working platform 3, a hyperspectral camera 4, a video camera 5 and a processor 16. Specifically, the inner wall of the box 1 is provided with a lighting component 2, and the lighting component 2 is suitable for providing full-spectrum lighting; the mobile platform is installed on the box 1, including a Y-axis driving component 6 and a Z-axis driving component 7 located in the box 1; the working platform 3 is arranged at the bottom of the box 1 and is connected to the Y-axis driving component 6; the working platform 3 is suitable for placing tissue samples and blank samples; the hyperspectral camera 4 is arranged at the top of the box 1 and is connected to the Z-axis driving component 7, and the hyperspectral camera 4 is suitable for collecting hyperspectral image data; the video camera 5 is arranged at the top of the box 1 and is connected to the Z-axis driving component 7, and the video camera 5 is suitable for collecting white light images; the processor 16 is arranged at the bottom of the box 1, and is suitable for processing the collected sample hyperspectral image data and blank sample hyperspectral image data.
[0046] This tissue pathology auxiliary diagnosis device places a blank sample and a tissue sample on a work platform 3 at the same time, provides a spectrum through an illumination unit 2, collects hyperspectral images of the blank sample and the tissue sample respectively through a hyperspectral camera 4, collects white light images through a camera 5 to assist in hyperspectral data analysis, and processes the sample hyperspectral data and the blank sample hyperspectral data through a processor 16, thereby obtaining a hyperspectral image of the edge of benign tissue and a hyperspectral image of the edge of malignant tissue, thereby facilitating the distinction of suspicious malignant ex vivo tissues and achieving the purpose of assisting tissue pathology diagnosis.
[0047] In this embodiment, the box body 1 includes a shell 9 with a cavity inside, the bottom of the shell 9 and one end of the shell 9 are opened, one end of the shell 9 is rotatably mounted with a chassis door 10 through a hinge 11, and a magnetic strip is arranged around the side of the chassis door 10 close to the housing. This arrangement is convenient for improving the tightness of the connection between the chassis door 10 and the housing after the chassis door 10 is closed. Specifically, a light scattering material layer is arranged on the inner wall surface of the shell 9. This arrangement can reduce the hardness of direct light through the light scattering material layer, make the light more uniform and soft, and optimize the lighting effect.
[0048] Specifically, the working platform 3 is arranged at one end close to the opening of the box body 1. In this arrangement, since the working platform 3 is close to the opening of the box body 1, it is convenient to place the sample on the working platform 3.
[0049] In this embodiment, a sample placement area and a blank sample control area are provided on the working platform 3. The sample placement area is a diffuse reflection surface of a low-light reflection material, and the blank sample area is a diffuse reflection surface of a high-light reflection material.
[0050] In this embodiment, the lighting element 2 is a halogen lamp; halogen lamps are installed on opposite sides of the inner wall of the housing 9 and on the side wall at one end away from the opening, and the two halogen lamps on opposite sides of the inner wall of the housing 9 are arranged close to the working platform 3. Such an arrangement can prevent the light from directly irradiating the sample on the working platform 3, and can reduce the interference of the direct reflected light on the sample surface; by using multiple halogen lamps in different directions, the overall brightness of the scene can be increased. Specifically, each halogen lamp is fixedly installed on the inner wall of the housing 9 through a fixing plate.
[0051] In this embodiment, a base 8 is installed at the bottom opening of the housing 9, a cavity is provided inside the base 8, and a processor 16 is provided in the cavity of the base 8. A power supply module 17 and a control module electrically connected to the processor 16 are also provided in the housing, the power supply module 17 is suitable for providing power supply to the lighting element 2, the mobile platform, the hyperspectral camera 4, the camera 5 and the processor 16, and the control module is suitable for controlling signals. Specifically, the processor 16 is electrically connected to a display, and the display interface of the display is suitable for displaying a hyperspectral image, a standard white light image, and a mixed image of the hyperspectral image and the standard white light image.
[0052] In this embodiment, the Y-axis driving member 6 of the mobile platform is installed on the Y-axis linear cylinder 12 at the bottom of the box 1 and the Y-axis slide 13 installed on the driving shaft of the Y-axis linear cylinder 12; the bottom of the box 1 is provided with a through groove corresponding to the Y-axis slide 13, the Y-axis slide 13 is suitable for moving in the through groove, and the working platform 3 is connected to the Y-axis slide 13. In this way, the working platform 3 can drive the sample thereon to move, and then obtain full-size hyperspectral data. Specifically, the Y-axis linear cylinder 12 is installed in the inner cavity of the base 8.
[0053] In this embodiment, the Z-axis driving member 7 of the mobile platform is located at the end of the box body 1 away from the opening, including a vertically arranged Z-axis lifting cylinder 14, one end of the Z-axis lifting cylinder 14 is fixed on the base 8, and the other end of the Z-axis lifting cylinder 14 extends into the box body 1. A mounting frame 15 located in the box body 1 is arranged on the driving shaft of the Z-axis lifting cylinder 14, and the end of the mounting frame 15 away from the Z-axis lifting cylinder 14 extends toward the opening direction of the box body 1. The hyperspectral camera 4 and the video camera 5 are both installed on the end of the mounting frame 15 away from the Z-axis lifting cylinder 14. Specifically, the hyperspectral camera 4 is installed on one side of the video camera 5. Specifically, the hyperspectral camera 4 is provided with an automatic focusing structure. In this way, the distance between the camera and the sample can be automatically adjusted by judging the lighting environment and the image clarity to ensure better clarity.
[0054] In this embodiment, the use of the above-mentioned tissue pathology auxiliary diagnosis device also includes the following steps:
[0055] S1: Spectral correction: set a blank sample control area, place the collected blank sample hyperspectral image on the blank sample control area, use a lighting device 2 with a spectrum to measure the spectrum of the blank sample hyperspectral image, and draw a spectral response curve. Apply the spectral response curve to obtain a corrected spectrum, thereby completing the spectral correction; thereby ensuring that the detector responds consistently to light of different wavelengths;
[0056] S2: Data acquisition: hyperspectral images of tissue samples and blank samples are collected again;
[0057] S3: Preprocessing: adjust the size of the hyperspectral image of the blank sample and the hyperspectral image of the tissue sample to the same size; perform logarithmic transformation on the hyperspectral data of the tissue sample and the hyperspectral data of the blank sample pixel by pixel; subtract the logarithmic transformed tissue sample data from the logarithmic transformed blank sample data to obtain preprocessed data;
[0058] S4: Feature extraction: Select preprocessed data of specific bands according to the type of tissue sample;
[0059] S5: Image recognition: Using deep learning models, the boundaries of benign tissue and malignant tissue are identified, and hyperspectral images of benign tissue and malignant tissue are obtained respectively;
[0060] S6: Image display: The hyperspectral image, the standard white light image, and the mixed image of the hyperspectral image and the standard white light image are displayed on the display interface connected to the processor 16 .
[0061] In summary, the tissue pathology auxiliary diagnosis device and its use method in the present application, by placing a blank sample and a tissue sample on the working platform 3 at the same time, providing a spectrum through the lighting element 2, respectively collecting hyperspectral images of the blank sample and the tissue sample through the hyperspectral camera 4, collecting white light images through the camera 5 to assist in hyperspectral data analysis, and processing the sample hyperspectral data and the blank sample hyperspectral data through the processor 16, can obtain a hyperspectral image of the edge of benign tissue and a hyperspectral image of the edge of malignant tissue, thereby facilitating the distinction between suspicious malignant ex vivo tissues and achieving the purpose of assisting tissue pathology diagnosis.
[0062] Obviously, the above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the invention.
Claims
1. A tissue pathology auxiliary diagnosis device, characterized in that: include: A box body (1) has an inner wall provided with a lighting element (2), wherein the lighting element (2) is suitable for providing full-spectrum lighting; A mobile platform, mounted on the box (1), comprising a Y-axis driving component (6) and a Z-axis driving component (7) located inside the box (1); A working platform (3) is arranged at the bottom of the box (1) and connected to the Y-axis driving member (6); the working platform (3) is suitable for placing tissue samples and blank samples; A hyperspectral camera (4) is arranged at the top of the housing (1) and connected to the Z-axis driving member (7), wherein the hyperspectral camera (4) is suitable for collecting hyperspectral image data; A camera (5) is arranged at the top of the box (1) and connected to the Z-axis driving member (7), and the camera (5) is suitable for collecting white light images; The processor (16) is arranged at the bottom of the box (1) and is suitable for processing the collected sample hyperspectral image data and blank sample hyperspectral image data.
2. The tissue pathology auxiliary diagnosis device according to claim 1, characterized in that: A light scattering material layer is arranged on the inner wall surface of the box body (1); a sample placement area and a blank sample control area are arranged on the working platform (3); the sample placement area is a diffuse reflection surface of a low light reflection material, and the blank sample area is a diffuse reflection surface of a high light reflection material.
3. The tissue pathology auxiliary diagnosis device according to claim 1, characterized in that: The hyperspectral camera (4) is provided with an automatic focusing structure.
4. The tissue pathology auxiliary diagnosis device according to claim 1, characterized in that: An opening is provided at one end of the box body (1), and a box door (10) is rotatably mounted on the opening; the working platform (3) is arranged inside the box body (1) at one end close to the opening.
5. The tissue pathology auxiliary diagnosis device according to claim 4, characterized in that: The lighting element (2) is a halogen lamp; halogen lamps are installed on the two opposite sides of the inner wall of the box body (1) and on the side wall at one end away from the opening, and the two halogen lamps on the two opposite sides of the inner wall of the box body (1) are both arranged close to the working platform (3).
6. The tissue pathology auxiliary diagnosis device according to claim 5, characterized in that: The Y-axis driving component (6) is installed on the Y-axis linear cylinder (12) at the bottom of the box (1) and the Y-axis slide (13) installed on the driving shaft of the Y-axis linear cylinder (12); a through groove corresponding to the Y-axis slide (13) is opened at the bottom of the box (1), and the Y-axis slide (13) is suitable for moving in the through groove, and the working platform (3) is connected to the Y-axis slide (13).
7. The tissue pathology auxiliary diagnosis device according to claim 6, characterized in that: It also includes a base (8) installed at the bottom of the box (1), and the Y-axis linear cylinder (12) is installed in the inner cavity of the base (8).
8. The tissue pathology auxiliary diagnosis device according to claim 7, characterized in that: The Z-axis driving member (7) is located at an end of the box (1) away from the opening, and comprises a vertically arranged Z-axis lifting cylinder (14), one end of the Z-axis lifting cylinder (14) is fixed on the base (8), and the other end of the Z-axis lifting cylinder (14) extends into the box (1). A mounting frame (15) located in the box (1) is arranged on the driving shaft of the Z-axis lifting cylinder (14), and the end of the mounting frame (15) away from the Z-axis lifting cylinder (14) extends toward the opening direction of the box (1), and the hyperspectral camera (4) and the video camera (5) are both mounted on the end of the mounting frame (15) away from the Z-axis lifting cylinder (14).
9. The tissue pathology auxiliary diagnosis device according to claim 1, characterized in that: It also includes a power supply module (17) and a control module electrically connected to the processor (16), wherein the power supply module (17) is suitable for providing power supply to the lighting element (2), the mobile platform, the hyperspectral camera (4), the camera (5) and the processor (16), and the control module is suitable for controlling signals.
10. The method of using the tissue pathology auxiliary diagnosis device according to any one of claims 1 to 9, characterized in that: The following steps are involved: S1: Spectral correction: setting a blank sample control area, placing the collected blank sample hyperspectral image on the blank sample control area, using a lighting element (2) with a spectrum, measuring the spectrum of the blank sample hyperspectral image, and drawing a spectral response curve, and applying the spectral response curve to obtain a corrected spectrum, thereby completing the spectral correction; S2: Data acquisition: hyperspectral images of tissue samples and blank samples are collected again; S3: Preprocessing: adjust the size of the hyperspectral image of the blank sample and the hyperspectral image of the tissue sample to the same size; perform logarithmic transformation on the hyperspectral data of the tissue sample and the hyperspectral data of the blank sample pixel by pixel; subtract the logarithmic transformed tissue sample data from the logarithmic transformed blank sample data to obtain preprocessed data; S4: Feature extraction: Select preprocessed data of specific bands according to the type of tissue sample; S5: Image recognition: Using deep learning models, the boundaries of benign tissue and malignant tissue are identified, and hyperspectral images of benign tissue and malignant tissue are obtained respectively; S6: Image display: Displaying the hyperspectral image, the standard white light image, and the mixed image of the hyperspectral image and the standard white light image on a display interface connected to the processor (16).