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3D人脸识别技术辅助中医面诊的优势与前景展望

屈馨宁 刘宏潇 陈悦宁

中医学报2025,Vol.40Issue(11):2304-2309,6.
中医学报2025,Vol.40Issue(11):2304-2309,6.DOI:10.16368/j.issn.1674-8999.2025.11.360

3D人脸识别技术辅助中医面诊的优势与前景展望

Advantages and Prospects of 3D Facial Recognition Technology in Assisting Traditional Chinese Medicine Face Diagnosis

屈馨宁 1刘宏潇 1陈悦宁1

作者信息

  • 1. 中国中医科学院广安门医院,北京 100053
  • 折叠

摘要

Abstract

Observation diagnosis is one of the four diagnostic methods in traditional Chinese medicine,with face diagnosis being the most important within inspection.Currently,research on the objectification of TCM facial diagnosis mainly focuses on four aspects:facial color extraction,facial gloss extraction,facial image segmentation and regional localization,and local inspection.In recent years,although ob-jective techniques for TCM facial diagnosis have made some progress,there are still some issues,such as insufficient depth of research,inadequate and unsystematic study of quantified facial features,limited diagnostic accuracy which can be easily affected by complex en-vironmental factors like lighting,and the lack of large-scale databases and unified standards,leading to insufficient reliability of re-search results.3D facial recognition technology can accurately capture information such as facial texture,height,and muscle thickness,enabling objective and quantitative analysis of facial features,and may become an important auxiliary tool for TCM facial diagnosis.Therefore,incorporating it into the digital TCM facial diagnosis system holds significant importance in promoting the objectification,standardization,and modernization of TCM face diagnosis.

关键词

中医面诊/3D人脸识别技术/中医望诊

Key words

TCM face diagnosis/3D facial recognition technology/TCM observation diagnosis

分类

医药卫生

引用本文复制引用

屈馨宁,刘宏潇,陈悦宁..3D人脸识别技术辅助中医面诊的优势与前景展望[J].中医学报,2025,40(11):2304-2309,6.

基金项目

国家自然科学基金面上项目(81873292) (81873292)

中国中医科学院科技创新工程重大攻关项目(CI2021A01506) (CI2021A01506)

中央高水平中医医院临床研究和成果转化能力提升项目(HL-CMHPP2023049) (HL-CMHPP2023049)

北京市中医药科技发展资金重点项目(BJZYZD-2023-02) (BJZYZD-2023-02)

中国中医科学院科技创新工程重点协同攻关项目(2023CI2023C072YLL) (2023CI2023C072YLL)

中医学报

1674-8999

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