Deep learning-based automated tongue analysis system for assisted Chinese medicine diagnosis
This study proposes an automated tongue analysis system that combines deep learning with traditional Chinese medicine to enhance the accuracy and objectivity of tongue diagnosis. The system includes a hardware device to provide a stable acquisition environment, an improved semi-supervised learning s...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-04-01
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| Series: | Frontiers in Physiology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fphys.2025.1559389/full |
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| author | Tingnan Chen Yutong Chen Zili Zhou Ying Zhu Ling He Jing Zhang |
| author_facet | Tingnan Chen Yutong Chen Zili Zhou Ying Zhu Ling He Jing Zhang |
| author_sort | Tingnan Chen |
| collection | DOAJ |
| description | This study proposes an automated tongue analysis system that combines deep learning with traditional Chinese medicine to enhance the accuracy and objectivity of tongue diagnosis. The system includes a hardware device to provide a stable acquisition environment, an improved semi-supervised learning segmentation algorithm based on U2net, a high-performance colour correction module for standardising the segmented images, and a tongue image analysis algorithm that fuses different features according to the characteristics of each feature of the TCM tongue image. Experimental results demonstrate the system’s performance and robustness in feature extraction and classification. The proposed methods ensure consistency and reliability in tongue analysis, addressing key challenges in traditional practices and providing a foundation for future correlation studies with endoscopic findings. |
| format | Article |
| id | doaj-art-4bf5fa9f5b0b41ad9e26ad69f617ed9b |
| institution | OA Journals |
| issn | 1664-042X |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physiology |
| spelling | doaj-art-4bf5fa9f5b0b41ad9e26ad69f617ed9b2025-08-20T02:19:57ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2025-04-011610.3389/fphys.2025.15593891559389Deep learning-based automated tongue analysis system for assisted Chinese medicine diagnosisTingnan Chen0Yutong Chen1Zili Zhou2Ying Zhu3Ling He4Jing Zhang5College of Biomedical Engineering, Sichuan University, Chengdu, ChinaCollege of Biomedical Engineering, Sichuan University, Chengdu, ChinaSichuan Second Hospital of TCM, Chengdu, ChinaCollege of Biomedical Engineering, Sichuan University, Chengdu, ChinaCollege of Biomedical Engineering, Sichuan University, Chengdu, ChinaCollege of Biomedical Engineering, Sichuan University, Chengdu, ChinaThis study proposes an automated tongue analysis system that combines deep learning with traditional Chinese medicine to enhance the accuracy and objectivity of tongue diagnosis. The system includes a hardware device to provide a stable acquisition environment, an improved semi-supervised learning segmentation algorithm based on U2net, a high-performance colour correction module for standardising the segmented images, and a tongue image analysis algorithm that fuses different features according to the characteristics of each feature of the TCM tongue image. Experimental results demonstrate the system’s performance and robustness in feature extraction and classification. The proposed methods ensure consistency and reliability in tongue analysis, addressing key challenges in traditional practices and providing a foundation for future correlation studies with endoscopic findings.https://www.frontiersin.org/articles/10.3389/fphys.2025.1559389/fulltongue imagesimage segmentationimage classificationtongue diagnosisneural networkscolor correction |
| spellingShingle | Tingnan Chen Yutong Chen Zili Zhou Ying Zhu Ling He Jing Zhang Deep learning-based automated tongue analysis system for assisted Chinese medicine diagnosis Frontiers in Physiology tongue images image segmentation image classification tongue diagnosis neural networks color correction |
| title | Deep learning-based automated tongue analysis system for assisted Chinese medicine diagnosis |
| title_full | Deep learning-based automated tongue analysis system for assisted Chinese medicine diagnosis |
| title_fullStr | Deep learning-based automated tongue analysis system for assisted Chinese medicine diagnosis |
| title_full_unstemmed | Deep learning-based automated tongue analysis system for assisted Chinese medicine diagnosis |
| title_short | Deep learning-based automated tongue analysis system for assisted Chinese medicine diagnosis |
| title_sort | deep learning based automated tongue analysis system for assisted chinese medicine diagnosis |
| topic | tongue images image segmentation image classification tongue diagnosis neural networks color correction |
| url | https://www.frontiersin.org/articles/10.3389/fphys.2025.1559389/full |
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