Gynecological immunohistochemical double-staining AI detection system based on computer vision and image processing technology

Abstract

The invention relates to the technical field of medical equipment, in particular to a gynecological immunohistochemical double-staining AI detection system based on computer vision and image processing technology, which comprises a casing, a sample detection darkroom is installed in the casing, the sample detection darkroom is provided with a sample insertion port outside the casing, and the sample insertion port is connected with a detection darkroom body. The detection darkroom body is provided with an insertion channel, a detection channel and visual interfaces, the insertion channel is arranged on the detection channel, and the visual interfaces are arranged at the two ends of the detection channel. An insertion channel, a detection channel and a visual interface are configured, and a visual image acquisition device vertically mounted on the side wall of the sample detection darkroom is matched, so that the sample can be quickly subjected to image acquisition. The sample detection darkroom can be arranged in a vertical or horizontal direction, one set of sample detection darkroom can be provided with a plurality of visual image acquisition devices at the same time, and a plurality of sets of sample detection darkrooms can be configured to carry out detection work at the same time.

Description

Technical Field

[0001] The present invention relates to the field of medical equipment technology, and in particular to a gynecological immunohistochemistry double-staining AI detection system based on computer vision and image processing technology. Background Art

[0002] In today's era of ever-advancing medical technology, diagnostic techniques for gynecological diseases are also undergoing continuous innovation. Gynecological dual-staining testing, as a key adjunctive cytological diagnostic tool, plays a crucial role in diagnosing inflammation and lesions of tissues and cells in the cervix, uterine cavity, urethral meatus, vagina, and vulva, particularly in acetic acid and methylene blue dual staining. Numerous clinical studies have demonstrated that folate receptors are highly expressed on the surface of tumor cells and are also expressed on inflammatory cells or HPV, while normal cells express little or no folate. Once methylene blue enters cells, it undergoes a redox reaction with reactive oxygen species within the cells, leading to a dual reaction of inflammation and tumorigenesis. This reaction increases intracellular osmotic pressure, allowing the oxidized dye molecules and folate receptor molecules to escape from the cell. The gradient color change of the methylene blue molecules, resulting from the changing concentration of these escaped molecules, is highly consistent with the patient's condition and provides high compliance, allowing physicians to assess the severity of inflammation, HPV infection, and other abnormal lesions. At present, the observation work after sample staining is completed mainly relies on medical staff, who make judgments by observing the staining conditions of the samples with the naked eye.

[0003] However, this traditional testing method has numerous limitations. Firstly, it fails to meet the demand for rapid and objective testing. When dealing with large numbers of samples, testing efficiency is low, which can lead to long wait times for patients. Secondly, manual observation is subject to significant subjective factors, and differences in experience and judgment between medical staff can lead to misdiagnosis or missed diagnoses, which in turn affect the timing and effectiveness of treatment. Furthermore, prolonged manual observation increases medical staff workload and fatigue, further increasing the likelihood of human error. For example, the technology disclosed in reference document CN114266317B focuses on clustering methods, devices, and servers, which differ significantly from the application scenarios and problems addressed by gynecological double-staining detection technology. In the field of gynecological double-staining detection, there is an urgent need for intelligent and automated detection devices to overcome the bottlenecks of traditional testing methods, improve detection efficiency and accuracy, and reduce medical staff workload and human error. This is of great significance for improving the diagnosis of gynecological diseases and the quality of medical care for patients. Summary of the Invention

[0004] The purpose of the present invention is to provide a gynecological immunohistochemistry double-staining AI detection system based on computer vision and image processing technology to address the problem of the inability to meet the requirements of rapid and objective detection proposed in the above-mentioned background technology. When faced with a large number of samples, the detection efficiency is low, which easily leads to long waiting times for patients. On the other hand, manual observation is greatly affected by subjective factors, and the experience and judgment standards of different medical staff vary, which may lead to misdiagnosis or missed diagnosis, thereby affecting the timing and effectiveness of treatment for patients.

[0005] To achieve the above-mentioned objectives, the present invention provides a gynecological immunohistochemistry double-staining AI detection system based on computer vision and image processing technology, comprising a casing, a sample detection darkroom installed in the casing, a sample insertion port provided on the outside of the casing, the sample insertion port being connected to the detection darkroom body, the detection darkroom body being provided with an insertion channel, a detection channel, and a visual interface, the insertion channel being provided on the detection channel for inserting the sample, the visual interface being provided at both ends of the detection channel for installing a visual image acquisition device; the visual image acquisition device being vertically mounted on the side wall of the sample detection darkroom through the visual interface, and being connected to the control system through a data cable.

[0006] This setup incorporates a sample detection chamber within the housing. The sample detection chamber has a sample insertion port located outside the housing, which is connected to the detection chamber itself. The detection chamber itself is equipped with an insertion channel, a detection channel, and a visual interface. The insertion channel, used for sample insertion, is located on the detection channel. The visual interface, installed at both ends of the detection channel, is used to mount a visual image acquisition device. The visual image acquisition device is mounted vertically on the side wall of the sample detection chamber via the visual interface and is connected to the control system via a data cable. Its operating principle is to utilize the visual image acquisition device to acquire image information of the sample within the detection channel through the visual interface and transmit it to the control system for subsequent analysis.

[0007] As a preferred embodiment of the present invention, the sample detection darkroom is arranged in a vertical or horizontal direction; a set of the sample detection darkroom is simultaneously arranged with multiple visual image acquisition devices to improve the quality and efficiency of visual image acquisition; by configuring multiple sets of sample detection darkrooms, detection is carried out simultaneously, and multiple shadowless lighting equipment is set on the side of the detection channel.

[0008] This setup allows for flexible sample testing darkroom configurations, allowing for vertical or horizontal layouts. Multiple visual image acquisition devices can be deployed within a single darkroom, capturing images of samples from different angles or simultaneously, improving both quality and efficiency. By deploying multiple darkrooms, multiple samples can be tested simultaneously. Multiple shadowless lighting devices are installed along the sides of the testing channel, providing uniform, shadow-free illumination for the samples, enabling the visual image acquisition devices to capture clearer images of the samples.

[0009] As a preferred solution of the present invention, the housing includes a bottom plate, an outer cover is installed on the outer side of the bottom plate, and a detection bracket is fixedly connected to the upper surface of the bottom plate, and the detection bracket is used to support and fix the sample detection darkroom.

[0010] This setup consists of a baseplate, a cover, and a detection bracket. The cover is mounted on the outer side of the baseplate for protection and aesthetics. The detection bracket is fixed to the upper surface of the baseplate, supporting the sample chamber and forming a stable structural support system.

[0011] As a preferred solution of the present invention, it also includes a data link device, which is connected to the cloud platform, user management platform and other peripherals through a control system to update, transmit and receive data.

[0012] This data link device connects the control system to the cloud platform, user management platform, and other peripherals. It works based on the control system's instructions, enabling data transmission, updating, and reception between different platforms and devices, enabling data sharing and interaction.

[0013] As a preferred embodiment of the present invention, the data link device includes an Internet of Things module, an external antenna, an external network port and a serial port receiving cable. The Internet of Things module transmits data by using radio waves, and can connect to the cloud platform to upload detection information in real time. The platform's learning module and data model can enrich and optimize the binary dye color database in real time, update the comparison database and application of the user terminal device, and remotely upgrade the application in real time. The external network port is configured through a local area network and can be connected to the user management platform. It can share and improve patient and test information in a timely manner, directly enter patient information obtained from the user's LIS system into the test report system by scanning the code, edit and print the test report online, and upload the test results to the LIS system database. The serial port receiving cable is used to connect to the control system, used for the control system to share and improve patient and test information, and locally update the comparison database and application.

[0014] This setup's data link device includes an IoT module, an external antenna, an external network port, and a serial port receiving cable. The IoT module transmits data via radio waves and can connect to a cloud platform to upload test information in real time. It leverages the platform's learning modules and data models to enrich and optimize the binary staining color database in real time. It can also update the user-end device's comparison database and applications, enabling remote, real-time application upgrades. The external network port connects to the user management platform via a LAN configuration. Patient information can be obtained from the user's LIS system by scanning a code, entered into the test report system, and online editing and printing of test reports can be achieved. Test results can also be uploaded to the LIS system database. The serial port receiving cable is used to connect to the control system, enabling control system sharing, improving patient and test information, and locally updating the comparison database and applications.

[0015] As a preferred embodiment of the present invention, the control system includes a power adapter module, a power conversion module, a control computer, a power button, a main power switch, an AC220V socket and a control module. The main power switch and AC220V socket are fixed on the outer cover for 220V input of the product. The power adapter module and the power conversion module are fixed on the base plate for converting AC220V into the DC power required by each module, including 24V required by the control computer, 5V required by the built-in label printer, Internet of Things module and control module. The control module is installed on the detection bracket and connected to the control computer via USB. By receiving control instructions from the control computer, the functional operation of each module is realized.

[0016] This control system includes a power adapter module, a power conversion module, a control computer, a power button, a main power switch, an AC220V outlet, and a control module. The main power switch and AC220V outlet are mounted on the outer cover and connect to a 220V power source. The power adapter module and power conversion module are mounted on the baseplate and convert AC220V into the DC power required by each module, such as 24V for the control computer and 5V for the built-in label printer, IoT module, and control module. The control module is mounted on the test bracket and connected to the control computer via USB. It receives control commands from the control computer and operates the functions of each module.

[0017] As a preferred solution of the present invention, the visual image acquisition device includes a high-precision digital camera and a high-speed transmission line. The high-speed video transmission line is connected to the control computer through a USB interface for real-time transmission of the acquired video information.

[0018] This setup's visual image acquisition device consists of a high-precision digital camera and a high-speed transmission line. The high-precision digital camera captures video information from the sample, while the high-speed transmission line connects to the control computer via a USB interface and transmits the captured video information to the control computer in real time.

[0019] As a preferred embodiment of the present invention, the control system also has a built-in dual-color dyeing database module and an analysis and comparison system module. The dual-color dyeing database module is provided with a software interface to facilitate data calls of the control software and updates and upgrades of the database. The analysis and comparison system module can compare the sample video information sent in real time by the visual image acquisition device with the data information in the dual-color dyeing database module to obtain the result information of the sample.

[0020] This control system incorporates a dual-color database module and an analysis and comparison system module. The dual-color database module features a software interface that facilitates data access and database updates. The analysis and comparison system compares sample video data, transmitted in real time by the visual image acquisition device, with the data stored in the dual-color database module, generating sample results based on the comparison.

[0021] As a preferred solution of the present invention, it also includes a test report system, which includes a built-in label printing and an external USB port, and is connected to the control system.

[0022] This setup test report system includes a built-in label printer and an external USB port, and is connected to the control system. Its principle is to receive the test result information sent by the control system and output the test report through the built-in label printer or external USB port connection to an external device.

[0023] As a preferred embodiment of the present invention, the test report system includes report design, editing, export and printing software, and is configured with a database file. The database file has functions such as report style design, project setting, content editing, automatic generation, manual verification, result export and report printing. The result export can be summarized into a table or graphic file output according to the search conditions. The built-in label printer can print out text format reports. The external USB port is used to connect an external color printer to print out color graphic format reports of various formats.

[0024] This test report system's report design, editing, export, and printing software includes a database file that allows for report format design, project setup, content editing, automatic generation, manual verification, result export, and report printing. Exported results can be summarized into tables or graphic files based on search criteria. A built-in label printer prints text reports, and an external USB port connects to an external color printer for color graphic output in various formats.

[0025] Compared with the prior art, the present invention has the following beneficial effects: 1. This gynecological immunohistochemistry double-staining AI detection system based on computer vision and image processing technology is equipped with an insertion channel, a detection channel and a visual interface. It cooperates with the visual image acquisition device installed vertically on the side wall of the sample detection darkroom to quickly capture images of samples. In addition, the sample detection darkroom can be arranged vertically or horizontally. A set of sample detection darkrooms can be equipped with multiple visual image acquisition devices at the same time, and multiple sets of sample detection darkrooms can be configured to carry out detection work at the same time. Combined with the multi-channel shadowless lighting equipment installed on the side of the detection channel, a large number of samples can be tested in a short time. Compared with traditional manual detection methods, it greatly improves the detection efficiency, meets the needs of rapid detection, and shortens the time patients wait for test results.

[0026] 2. In this gynecological immunohistochemistry double-staining AI detection system based on computer vision and image processing technology, the system's visual image acquisition device uses a high-precision digital camera and high-speed transmission line, which can accurately capture video information of the sample and transmit it to the control computer in real time via a USB interface. The dual-staining color database module built into the control system is equipped with a software interface to facilitate data retrieval and database updates. The analysis and comparison system module can accurately compare the sample video information sent in real time by the visual image acquisition device with the data information in the dual-staining color database module, thereby obtaining accurate sample result information. This analysis and comparison process based on computer vision and image processing technology avoids the subjectivity and experience differences of manual observation, effectively reduces the probability of misdiagnosis and missed diagnosis, and provides doctors with a more reliable basis for diagnosis.

[0027] 3. In the gynecological immunohistochemistry double-staining AI detection system based on computer vision and image processing technology, the detection system realizes the automation process of sample detection. From sample insertion to result analysis, most of the work is automatically completed by the system. Medical staff only need to insert the sample into the sample detection darkroom through the sample insertion port. Subsequent image acquisition, analysis and comparison, and report generation do not require long-term human participation. At the same time, the Internet of Things module of the data link device can connect to the cloud platform to upload detection information in real time, and enrich and optimize the double-staining color database in real time through the platform's learning module and data model, without the need for medical staff to manually update the data. In addition, the external network port is connected to the user management platform through the LAN configuration, which can automatically enter patient information and generate test reports, greatly reducing the workload of medical staff and reducing work intensity, so that they can devote more energy to other medical services.

[0028] 4. This AI-powered gynecological immunohistochemistry dual-staining detection system, based on computer vision and image processing technologies, features a data link design that excels in data management and sharing. The IoT module transmits data via radio waves, connecting to a cloud platform to upload test information in real time, enriching and optimizing the dual-staining color database. It also updates the comparison database and application on the user's device, enabling remote, real-time application upgrades. An external network port connects to a user management platform, such as a laboratory information system (LIS), via a local area network (LAN), enabling timely sharing and improvement of patient and test information. Medical staff can scan a QR code to directly enter patient information from the user's LIS into the test reporting system, edit and print test reports online, and upload test results to the LIS database. A serial port receiver cable connects to the control system, enabling the control system to share and improve patient and test information, as well as update the local comparison database and application. This convenient and efficient data management and sharing method helps improve the overall quality and collaboration of medical services.

[0029] 5. In this gynecological immunohistochemistry double-staining AI detection system based on computer vision and image processing technology, the detection report system is rich in functions, including report design, editing, exporting and printing software, and is equipped with a database file with multiple functions. The database file can perform operations such as report style design, project setting, content editing, automatic generation, manual verification, result export and report printing. The exported results can be summarized into tables or graphic files according to the search conditions, which is convenient for medical staff and patients to view and analyze. The built-in label printer can print out text format reports to meet basic daily needs; the external USB port is used to connect an external color printer, which can print out color graphic format reports of various formats, providing a flexible solution for special needs, so that the generation of test reports can better meet the needs of different scenarios and users. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 This is one of the overall structural diagrams of the present invention; Figure 2 This is the second schematic diagram of the overall structure of the present invention; Figure 3 Schematic diagram of the internal structure of the present invention; Figure 4 This is one of the structural diagrams of the sample detection darkroom in the present invention; Figure 5 This is the second structural diagram of the sample detection darkroom in the present invention; Figure 6 Schematic diagram of the structure of the control computer in the present invention; The meaning of each number in the figure is: 1. Sample detection darkroom; 2. Visual image acquisition device; 3. Dual-item dye color database; 4. Analysis and comparison system; 8. Sample insertion port; 9. Detection darkroom body; 10. Insertion channel; 11. Detection channel; 13. Visual interface; 14. Bottom plate; 15. Outer cover; 16. Detection bracket; 17. Power adapter module; 18. Power conversion module; 19. Control computer; 20. Power button; 21. Main power switch; 22. AC220V socket; 23. External USB port; 24. Control module; 25. Internet of Things module; 26. Built-in label printing; 27. External network port. DETAILED DESCRIPTION

[0031] The following will clearly and completely describe the technical solutions in the embodiments of the present invention 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 making creative efforts are within the scope of protection of the present invention.

[0032] The present invention provides a gynecological immunohistochemistry double staining AI detection system based on computer vision and image processing technology, such as Figure 3 、 Figure 5 As shown, it includes a casing, in which a sample detection darkroom 1 is installed. A sample insertion port 8 is provided on the outside of the casing of the sample detection darkroom 1. The sample insertion port 8 is connected to a detection darkroom body 9. The detection darkroom body 9 is provided with an insertion channel 10, a detection channel 11, and a visual interface 13. The insertion channel 10 is provided on the detection channel 11 for inserting the sample. The visual interface 13 is provided at both ends of the detection channel 11 for installing a visual image acquisition device 2; the visual image acquisition device 2 is vertically installed on the side wall of the sample detection darkroom 1 through the visual interface 13, and is connected to the control system through a data cable.

[0033] A sample detection chamber 1 is provided inside the housing. The sample detection chamber 1 has a sample insertion port 8 outside the housing, and the sample insertion port 8 is connected to the detection chamber body 9. The detection chamber body 9 is equipped with an insertion channel 10, a detection channel 11 and a visual interface 13. The insertion channel 10 is used for sample insertion and is provided on the detection channel 11. The visual interface 13 is installed at both ends of the detection channel 11 and is used to install a visual image acquisition device 2. The visual image acquisition device 2 is vertically installed on the side wall of the sample detection chamber 1 through the visual interface 13 and is connected to the control system through a data cable. Its working principle is to use the visual image acquisition device 2 to obtain the image information of the sample in the detection channel 11 through the visual interface 13, and transmit it to the control system for subsequent analysis. This structural design enables the sample insertion and image acquisition processes to cooperate with each other, and can efficiently perform image acquisition on the sample, providing a basis for subsequent analysis based on computer vision and image processing technology. In addition, the setting of the detection chamber 1 can reduce the interference of external light and other factors on sample detection, thereby improving the accuracy of detection.

[0034] In this embodiment, Figure 3 、 Figure 4 、 Figure 5 As shown, the sample detection darkroom 1 is arranged in a vertical or horizontal direction; a set of sample detection darkrooms 1 is simultaneously arranged with multiple visual image acquisition devices 2 to improve the quality and efficiency of visual image acquisition; by configuring multiple sets of sample detection darkrooms 1, detection is carried out simultaneously, and multiple shadowless lighting equipment is set on the side of the detection channel 11.

[0035] The sample detection darkroom 1 can be arranged in a vertical or horizontal direction, which is flexible. A set of sample detection darkrooms 1 is simultaneously arranged with multiple visual image acquisition devices 2, and multiple acquisition devices are used to capture images of samples from different angles or at the same time to improve the quality and efficiency of visual image acquisition. By configuring multiple sets of sample detection darkrooms 1, the detection of multiple samples can be carried out at the same time. Multi-channel shadowless lighting equipment is set on the side of the detection channel 11. The shadowless lighting equipment can provide uniform and shadowless lighting for the sample, allowing the visual image acquisition device 2 to obtain clearer sample images. The efficiency of sample detection is improved, more samples can be processed at the same time, and the detection time is shortened. Multiple visual image acquisition devices 2 improve the quality of image acquisition, provide more comprehensive and accurate image information for subsequent analysis, and help to improve the accuracy of the detection results. The shadowless lighting equipment improves the lighting conditions for sample detection and further improves the clarity and accuracy of image acquisition.

[0036] Specifically, such as Figure 1 、 Figure 2 As shown, the housing includes a bottom plate 14 , an outer cover 15 is installed on the outer side of the bottom plate 14 , and a detection bracket 16 is fixedly connected to the upper surface of the bottom plate 14 , and the detection bracket 16 is used to support and fix the sample detection darkroom 1 .

[0037] The housing consists of a base plate 14, an outer cover 15, and a detection bracket 16. The outer cover 15 is mounted on the outer side of the base plate 14 for protection and aesthetics. The detection bracket 16 is fixedly connected to the upper surface of the base plate 14, supporting and securing the sample detection chamber 1, forming a stable structural support system. This provides a stable mounting and support structure for the sample detection chamber 1 and the detection components within it, ensuring the stability of the detection system during operation and preventing structural instability from affecting sample detection, such as inaccurate image acquisition caused by shaking.

[0038] Furthermore, it also includes a data link device, which is connected to the cloud platform, user management platform and other peripherals through the control system to update, transmit and receive data.

[0039] The data link device connects to the cloud platform, user management platform, and other peripherals through the control system. Its operating principle is to transmit, update, and receive data between different platforms and devices based on the control system's instructions, enabling data sharing and interaction. This enables the testing system to exchange data with external platforms and devices, facilitating the sharing of test information and improving patient information. It also updates the testing system's own data and programs, improving its performance and adaptability. For example, it can obtain the latest test standard data in real time to optimize test result analysis.

[0040] Further, such as Figure 1 、 Figure 2 、 Figure 4 As shown, the data link device includes an Internet of Things module 25, an external antenna, an external network port 27 and a serial port receiving cable. The Internet of Things module 25 transmits data by using radio waves, and can connect to the cloud platform to upload detection information in real time. Through the platform's learning module and data model, the dual-dye color database 3 can be enriched and optimized in real time, the comparison database and application of the user-end device can be updated, and the application can be upgraded remotely in real time. The external network port 27 can be connected to the user management platform through the local area network configuration, and can share and improve patient and test information in a timely manner. By scanning the code, the patient information obtained from the user's LIS system can be directly entered into the test report system, the test report can be edited and printed online, and the test results can be uploaded to the LIS system database, etc. The serial port receiving cable is used to connect to the control system, used for the control system to share and improve patient and test information, and locally update the comparison database and application.

[0041] The data link device includes an IoT module 25, an external antenna, an external network port 27, and a serial port receiving cable. The IoT module 25 transmits data via radio waves, connecting to a cloud platform to upload test information in real time. It leverages the platform's learning modules and data models to enrich and optimize the binary color database 3 in real time. It also updates the comparison database and application on the user's end device, enabling remote, real-time application upgrades. The external network port 27 connects to the user management platform via a local area network (LAN). Patient information can be obtained from the user's LIS system by scanning a QR code, entered into the test report system, and online editing and printing of test reports can be performed. Test results can also be uploaded to the LIS database. The serial port receiving cable connects to the control system, enabling control system sharing and improvement of patient and test information, as well as local updates to the comparison database and application. This enables multi-channel data transmission and interaction, facilitating real-time updating and sharing of test information. Connection to the cloud platform helps the testing system continuously optimize its own database and application, improving test accuracy and efficiency. Connection to the user management platform and LIS system facilitates medical staff in obtaining patient information and generating test reports, enhancing the level of informationization and work efficiency of medical services.

[0042] Further, such as Figure 1 、 Figure 2 、 Figure 3 As shown, the control system includes a power adapter module 17, a power conversion module 18, a control computer 19, a power button 20, a main power switch 21, an AC220V socket 22 and a control module 24. The main power switch 21 and the AC220V socket 22 are fixed on the outer cover 15 for 220V input of the product. The power adapter module 17 and the power conversion module 18 are fixed on the base plate 14 for converting AC220V into the DC power required by each module, including the 24V required by the control computer 19, the built-in label printer 26, the Internet of Things module 25 and the 5V required by the control module 24. The control module 24 is installed on the detection bracket 16 and is connected to the control computer 19 via USB. By receiving the control instructions of the control computer 19, the functional operation of each module is realized.

[0043] The control system includes a power adapter module 17, a power conversion module 18, a control computer 19, a power button 20, a main power switch 21, an AC 220V outlet 22, and a control module 24. The main power switch 21 and AC 220V outlet 22 are fixed to the outer cover 15 and connect to a 220V power source. The power adapter module 17 and power conversion module 18 are fixed to the base plate 14 and convert AC 220V into the DC power required by each module. For example, they provide 24V power to the control computer 19 and 5V power to the built-in label printer 26, the IoT module 25, and the control module 24. The control module 24 is mounted on the detection bracket 16 and connected to the control computer 19 via USB. It receives control commands from the control computer 19 and implements the functional operations of each module. This provides a stable and adaptable power supply for the entire detection system, ensuring the proper functioning of each module. The control module 24 cooperates with the control computer 19 to realize the centralized control of each module of the detection system, so that the system can perform sample detection, data processing and other operations according to preset programs and instructions, ensuring the normal operation and function realization of the detection system.

[0044] Furthermore, the visual image acquisition device 2 includes a high-precision digital camera and a high-speed transmission line. The high-speed video transmission line is connected to the control computer 19 through a USB interface for real-time transmission of the acquired video information.

[0045] The visual image acquisition device 2 consists of a high-precision digital camera and a high-speed transmission line. The high-precision digital camera is used to capture video information of the sample. The high-speed transmission line is connected to the control computer 19 via a USB interface and transmits the captured video information to the control computer 19 in real time. The high-precision digital camera can obtain clear and accurate video information of the sample, and the high-speed transmission line ensures that the video information can be transmitted to the control computer 19 quickly and in real time, providing timely, high-quality data for subsequent analysis and comparison, helping to improve the efficiency and accuracy of detection.

[0046] Further, such as Figure 6 As shown, the control system also has a built-in dual-color dyeing database module 3 and an analysis and comparison system module 4. The dual-color dyeing database module 3 is provided with a software interface to facilitate the data call of the control software and the update and upgrade of the database. The analysis and comparison system module 4 can compare the sample video information sent in real time by the visual image acquisition device 2 with the data information in the dual-color dyeing database module 3, thereby obtaining the result information of the sample.

[0047] The control system has a built-in dual-color staining database module 3 and an analysis and comparison system module 4. The dual-color staining database module 3 is provided with a software interface to facilitate the control software to call data and update and upgrade the database. The analysis and comparison system module 4 compares the sample video information sent in real time by the visual image acquisition device 2 with the data information in the dual-color staining database module 3, and obtains the sample result information based on the comparison results. The dual-color staining database module 3 provides a data basis for analysis and comparison, and is easy to update and upgrade through the software interface, ensuring the timeliness and accuracy of the database. The analysis and comparison system module 4 performs comparison analysis based on the database, and can quickly and accurately obtain sample result information, avoiding the subjectivity and errors of manual observation, and improving the accuracy and reliability of detection.

[0048] Further, such as Figure 1 、 Figure 2 As shown, the detection report system is also included. The detection report system includes a built-in label printing 26 and an external USB port 23, and is connected to the control system.

[0049] The test report system includes a built-in label printer 26 and an external USB port 23, which are connected to the control system. It receives test result information from the control system and outputs test reports via the built-in label printer 26 or an external device connected to the external USB port 23. Multiple methods are provided for outputting test results, making it easier for medical staff to obtain test reports and meeting the needs of different scenarios. For example, the built-in label printer 26 can be used to print simple daily reports, while the external USB port 23 can be connected to an external color printer for more detailed reports with color graphics and text.

[0050] Furthermore, the test report system includes report design, editing, export and printing software, and is configured with a database file. The database file has functions such as report style design, project setting, content editing, automatic generation, manual verification, result export and report printing. The exported results can be summarized into a table or graphic file output according to the search conditions. The built-in label printer 26 can print out text format reports, and the external USB port 23 is used to connect an external color printer to print out color graphic format reports of various formats.

[0051] The report design, editing, export and printing software of the test report system is configured with a database file, which has functions such as report style design, project setting, content editing, automatic generation, manual verification, result export and report printing. The result export can be summarized into a table or graphic file output according to the search conditions. The built-in label printer 26 prints out text format reports, and the external USB port 23 is connected to an external color printer to print out color graphic format reports of various formats. The rich functions make the generation of test reports more flexible and diversified, and can meet the needs of different users and medical scenarios. Functions such as report style design can be customized according to the needs of hospitals or medical staff. The diversified forms of result export facilitate the collation and analysis of data, and improve the practicality and usability of test reports.

[0052] When the gynecological immunohistochemistry double-staining AI detection system based on computer vision and image processing technology of the present invention is in use, the medical staff first inserts the gynecological sample to be tested through the sample insertion port 8 outside the casing, and the sample enters the detection channel 11 through the insertion channel 10 in the detection darkroom body 9 connected to the sample insertion port 8. A visual image acquisition device 2 is vertically mounted on the visual interface 13 at both ends of the detection channel 11. The device consists of a high-precision digital camera and a high-speed transmission line. The high-precision digital camera collects video information of the sample in the detection channel 11, and ensures that clear and accurate sample image information is collected under the uniform and shadow-free lighting conditions provided by the multi-channel shadowless lighting equipment on the side of the detection channel 11. The collected video information is transmitted to the control computer 19 in real time via the high-speed transmission line and the USB interface. In order to improve the detection efficiency, the sample detection darkroom 1 can be arranged vertically or horizontally according to needs. A set of sample detection darkroom 1 can be equipped with multiple visual image acquisition devices 2 at the same time to collect sample images from different angles or at the same time. Multiple sets of sample detection darkrooms 1 can also be configured to carry out detection of multiple samples in parallel. After the control computer 19 receives the sample video information transmitted by the visual image acquisition device 2, the analysis and comparison system module 4 built into the control system begins operation. This module compares the received sample video information with the data in the dual-staining color database module 3. The dual-staining color database module 3 stores a large amount of data related to gynecological immunohistochemistry dual staining and is equipped with a software interface to facilitate data access by the control software and database updates. It can be connected to the cloud platform via a data link device, utilizing the platform's learning modules and data models to enrich and optimize the database content in real time. The analysis and comparison system module 4 analyzes the staining characteristics and other features in the sample video information based on preset algorithms and comparison rules, and compares them with the standard data in the database to obtain sample results and determine the degree of inflammation, HPV infection, and abnormal lesions reflected in the sample. The data link device plays a key role in data transmission and interaction throughout the entire system. The IoT module 25 transmits data via radio waves, uploading test information from the testing process to the cloud platform in real time. It can also retrieve updated data from the cloud platform to enrich and optimize the dual-dye color database 3, as well as update the comparison database and application programs on the user's end device, enabling remote, real-time application upgrades. The external network port 27 connects to a user management platform, such as an LIS, via a local area network configuration. Medical staff can scan a QR code to obtain patient information from the user's LIS and directly enter it into the test reporting system. Test results can also be uploaded to the LIS database, enabling the sharing and improvement of patient and test information. The serial port receiving cable is used to connect to the control system, enabling the control system to locally share and improve patient and test information, as well as locally update the comparison database and application programs. After the analysis and comparison system module 4 obtains the result information of the sample, the test result information is transmitted to the test report system. The report design, editing, export and printing software of the test report system, combined with the configured database file, automatically generates a test report according to the preset report style design, project settings and other functions. The user can manually check and edit the report content, and the result export function supports the output of the test results into a table or graphic file according to the search conditions. The built-in label printer 26 can print and output text format reports to meet basic daily needs; the external USB port 23 is used to connect an external color printer to print out color graphic format reports of various formats to meet the diverse needs of test reports in different scenarios. The control system plays a central role throughout the entire operation. A main power switch 21 and an AC 220V outlet 22 are attached to the outer housing 15 and connect to a 220V power source. The power adapter module 17 and power conversion module 18 convert the AC 220V into the DC power required by each module, providing 24V power to the control computer 19 and 5V power to the built-in label printer 26, the IoT module 25, and the control module 24. The control module 24 is mounted on the detection bracket 16 and connected to the control computer 19 via USB. It receives control commands from the control computer 19 and implements the functional operations of various modules, including the sample detection darkroom 1, the visual image acquisition device 2, the data link device, and the detection reporting system, ensuring the orderly and stable operation of the entire detection system.

[0053] Finally, it should be noted that the visual image acquisition device 2 in this embodiment, etc., the electronic components in the above-mentioned parts are all universal standard parts or parts known to those skilled in the art, and their structures and principles can be known to those skilled in the art through technical manuals or through conventional experimental methods. In the idle part of this device, all the above-mentioned electrical components are connected respectively through wires. The specific connection means should refer to the working sequence between the electrical components in the above-mentioned working principle to complete the electrical connection, which are all well-known technologies in the art.

[0054] The above shows and describes the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions are merely preferred examples of the present invention and are not intended to limit the present invention. Various changes and improvements may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and improvements fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. A gynecological immunohistochemistry double-staining AI detection system based on computer vision and image processing technology, including a housing, characterized by: A sample detection darkroom (1) is installed in the housing. The sample detection darkroom (1) is provided with a sample insertion port (8) outside the housing. The sample insertion port (8) is connected to the detection darkroom body (9). The detection darkroom body (9) is provided with an insertion channel (10), a detection channel (11), and a visual interface (13). The insertion channel (10) is provided on the detection channel (11) for inserting a sample. The visual interface (13) is provided at both ends of the detection channel (11) for installing a visual image acquisition device (2). The visual image acquisition device (2) is vertically installed on the side wall of the sample detection darkroom (1) through the visual interface (13) and is connected to the control system through a data line.

2. The gynecological immunohistochemistry double-staining AI detection system based on computer vision and image processing technology according to claim 1, characterized in that: The sample detection darkroom (1) is arranged in a vertical direction or a horizontal direction; a plurality of visual image acquisition devices (2) are arranged simultaneously in one set of the sample detection darkroom (1) to improve the quality and efficiency of visual image acquisition; by configuring multiple sets of sample detection darkrooms (1), detection is carried out simultaneously, and multiple shadowless lighting devices are arranged on the side of the detection channel (11).

3. The gynecological immunohistochemistry double-staining AI detection system based on computer vision and image processing technology according to claim 1, characterized in that: The housing comprises a bottom plate (14), an outer cover (15) is mounted on the outer side of the bottom plate (14), and a detection bracket (16) is fixedly connected to the upper surface of the bottom plate (14), and the detection bracket (16) is used to support and fix the sample detection darkroom (1).

4. The gynecological immunohistochemistry double-staining AI detection system based on computer vision and image processing technology according to claim 1, characterized in that: It also includes a data link device, which is connected to the cloud platform, user management platform and other peripherals through the control system to update, transmit and receive data.

5. The gynecological immunohistochemistry double-staining AI detection system based on computer vision and image processing technology according to claim 4, characterized in that: The data link device includes an Internet of Things module (25), an external antenna, an external network port (27) and a serial port receiving cable. The Internet of Things module (25) transmits data by using radio waves and can connect to the cloud platform to upload detection information in real time. The platform's learning module and data model can enrich and optimize the double-dye color database (3) in real time, update the comparison database and application program of the user terminal device, and remotely upgrade the application in real time. The external network port (27) can be connected to the user management platform through the local area network configuration, and can share and improve patient and detection information in a timely manner. By scanning the code, the patient information obtained from the user's LIS system can be directly entered into the detection report system, the detection report can be edited and printed online, and the detection results can be uploaded to the LIS system database. The serial port receiving cable is used to connect to the control system, and is used for the control system to share and improve patient and detection information, and locally update the comparison database and application program.

6. The gynecological immunohistochemistry double-staining AI detection system based on computer vision and image processing technology according to claim 1, characterized in that: The control system includes a power adapter module (17), a power conversion module (18), a control computer (19), a power button (20), a main power switch (21), an AC220V socket (22) and a control module (24). The main power switch (21) and the AC220V socket (22) are fixed on the outer cover (15) and are used for 220V input of the product. The power adapter module (17) and the power conversion module (18) are fixed on the base plate (14) and are used to convert AC220V into DC power required by each module, including 24V required by the control computer (19), 5V required by the built-in label printer (26), the Internet of Things module (25) and the control module (24). The control module (24) is installed on the detection bracket (16) and is connected to the control computer (19) via a USB. By receiving control instructions from the control computer (19), the functional operation of each module is realized.

7. The gynecological immunohistochemistry double-staining AI detection system based on computer vision and image processing technology according to claim 1, characterized in that: The visual image acquisition device (2) includes a high-precision digital camera and a high-speed transmission line. The high-speed video transmission line is connected to the control computer (19) via a USB interface and is used for real-time transmission of the acquired video information.

8. The gynecological immunohistochemistry double-staining AI detection system based on computer vision and image processing technology according to claim 1, characterized in that: The control system further has a built-in dual-item dyeing color database module (3) and an analysis and comparison system module (4). The dual-item dyeing color database module (3) is provided with a software interface to facilitate data call of the control software and update and upgrade of the database. The analysis and comparison system module (4) can compare the sample video information sent in real time by the visual image acquisition device (2) with the data information in the dual-item dyeing color database module (3), thereby obtaining result information of the sample.

9. The gynecological immunohistochemistry double-staining AI detection system based on computer vision and image processing technology according to claim 1, characterized in that: It also includes a test report system, which includes a built-in label printing (26) and an external USB port (23), and is connected to the control system.

10. The gynecological immunohistochemistry double-staining AI detection system based on computer vision and image processing technology according to claim 1, characterized in that: The test report system includes report design, editing, exporting and printing software, and is configured with a database file. The database file has functions such as report style design, project setting, content editing, automatic generation, manual verification, result exporting and report printing. The result export can be summarized into a table or graphic file output according to the search conditions. The built-in label printer (26) can print out text format reports. The external USB port (23) is used to connect to an external color printer to print out color graphic format reports of various formats.

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