数字中医药（英文）2024，Vol.7Issue(1)：3-12,10.DOI:10.1016/j.dcmed.2024.04.002
基于机器学习的舌象形质诊断分析研究现状与展望
Research status and prospect of tongue image diagnosis analysis based on machine learning
摘要
Abstract
Image-based intelligent diagnosis represents a trending research direction in the field of tongue diagnosis in traditional Chinese medicine(TCM).In recent years,machine learning techniques,including convolutional neural networks(CNNs)and Transformers,have been widely used in the analysis of medical images,such as computed tomography(CT)and nucle-ar magnetic resonance imaging(MRI).These techniques have significantly enhanced the effi-ciency and accuracy of decision-making in TCM practices.Advanced artificial intelligence(AI)technologies have also provided new opportunities for the research and development of medical equipment and TCM tongue diagnosis,resulting in improved standardization and in-telligence of the tongue diagnostic procedures.Although traditional image analysis methods could transform tongue images into scientific and analyzable data,recognizing and analyzing images that capture complicated tongue features such as tooth-marked tongue,tongue spots and prickles,fissured tongue,variations in coating thickness,tongue texture(curdy and greasy),and tongue presence(peeled coating)continues posing significant challenges in con-temporary tongue diagnosis research.Therefore,the employment of machine learning tech-niques in the analysis of tongue shape and texture features as well as their applications in TCM diagnosis is the focus of this study.In the study,both traditional and deep learning im-age analysis techniques were summarized and analyzed to figure out their value in predicting disease risks by observing the tongue shapes and textures,aiming to open a new chapter for the development and application of AI in TCM tongue diagnosis research.In short,the com-bination of TCM tongue diagnosis and AI technologies,will not only enhance the scientific basis of tongue diagnosis but also improve its clinical applicability,thereby advancing the modernization of TCM diagnostic and therapeutic practices.关键词
舌象图像/形质特征/深度学习/智能诊断/舌诊Key words
Tongue image/Shape and texture feature/Deep learning/Intelligent diagnosis/Tongue diagnosis引用本文复制引用
许家佗,江涛,刘实..基于机器学习的舌象形质诊断分析研究现状与展望[J].数字中医药（英文）,2024,7(1):3-12,10.基金项目
National Natural Science Foundation of China(82104738),Capacity Building of Local Colleges and Uni-versities under the Shanghai Municipal Science and Technology Commission(21010504400),and Space Sta-tion Engineering Aerospace Medical Experiment Project(HYZHXM05001). （82104738）
