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Application exploration of SAM and FastSAM Interactive Segmentation Technology in Ojectification of Traditional Chinese Medicine Inspection Diagnosis
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Mai LIU, Jing WANG, Manrui WANG, Linmiao FAN, Hengyu ZHOU, Xiaoqing ZHANG
Chinese Archives of Traditional Chinese Medicine | 2025, 43(9) : 21 - 25
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Chinese Archives of Traditional Chinese Medicine | 2025, 43(9): 21-25
• Digital Traditional Chinese Medicine •
Application exploration of SAM and FastSAM Interactive Segmentation Technology in Ojectification of Traditional Chinese Medicine Inspection Diagnosis
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Mai LIU, Jing WANG, Manrui WANG, Linmiao FAN, Hengyu ZHOU, Xiaoqing ZHANG
Affiliations
  • School of Life Sciences,Beijing University of Chinese Medicine,Beijing 100029,China
Published: 2025-09-10 doi: 10.13193/j.issn.1673-7717.2025.09.005
Outline
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Objective

This study explored the application of the Segment Anything Model(SAM)series in digitalizing traditional Chinese medicine(TCM)inspection diagnosis research,aiming to reduce extensive manual annotation required for specific part segmentation models of tongue,face,eye,and hand under TCM theoretical guidance.

Methods

First,the Fast Segment Anything Model(Fast SAM)was used to perform unsupervised segmentation on images of the tongue,face and eyes. The evaluation of its ability to fully segment these areas indicated that FastSAM is highly effective in isolating the specific regions needed for TCM diagnostics. Secondly,SAM used with bounding box prompts,can compensate for Fast SAM's suboptimal performance in segmenting finer details such as cracks in the tongue,the forehead on the face,blood vessels in the eyes,and fingernails on the hands.

Results

FastSAM achieved Intersection over Union(IOU)values exceeding 0.9 for both the tongue and facial areas,and over 0.8 for the ocular area,indicating its good performance in overall or partial image segmentation. Additionally,SAM demonstrated the excellent segmentation results for detailed areas that Fast SAM cannot handle.

Conclusion

The SAM series of models offers a novel segmentation approach for the subsequent analysis of image features in TCM inspection guided by TCM theory. It enables zeroshot segmentation of various TCM inspection images across different dimensions,potentially significantly reducing the manual annotation workload for TCM inspection image features. At the same time,it effectively enhances the accuracy and reliability of TCM inspection.

image segmentation  /  tongue diagnosis  /  face diagnosis  /  eye diagnosis  /  hand diagnosis  /  objectification of four diagnostic methods
刘迈, 王晶, 王曼睿, 樊林淼, 周恒宇, 张晓晴. 基于SAM与FastSAM交互式分割技术在中医望诊客观化中的应用探究. 中华中医药学刊, 2025 , 43 (9) : 21 -25 . DOI: 10.13193/j.issn.1673-7717.2025.09.005
Mai LIU, Jing WANG, Manrui WANG, Linmiao FAN, Hengyu ZHOU, Xiaoqing ZHANG. Application exploration of SAM and FastSAM Interactive Segmentation Technology in Ojectification of Traditional Chinese Medicine Inspection Diagnosis[J]. Chinese Archives of Traditional Chinese Medicine, 2025 , 43 (9) : 21 -25 . DOI: 10.13193/j.issn.1673-7717.2025.09.005
Year 2025 volume 43 Issue 9
31
13
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doi: 10.13193/j.issn.1673-7717.2025.09.005
  • Online Date:2026-10-30
  • Published:2025-09-10
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    School of Life Sciences,Beijing University of Chinese Medicine,Beijing 100029,China
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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