摘要
舌诊是中医诊疗的重要方法。舌象辅助诊断的关键环节是对舌象特征的提取和处理,也是中医舌诊智能化的瓶颈问题。采用人工智能图像处理技术对舌象中医特征进行量化并识别,寻找既符合中医原创思维,又能对中医舌象准确诊断的方法,已成为中医和计算机领域共同关注的问题。文章从移动终端中医舌象辅助诊断系统舌象采集基本属性、舌诊图像信息构建、舌象特征精准提取等方面所需关键技术进行分析,并搭建整体架构,以期为舌象智能诊断提供技术参考,促进中医舌诊技术现代化发展。
Tongue diagnosis is an important method of TCM diagnosis and treatment.Tongue is the key link of auxiliary diagnosis of tongue feature extraction and processing,and also is the bottleneck of intelligent tongue diagnosis in traditional Chinese medicine.Using image processing,artificial intelligence technology to the tongue as a quantitative and identify characteristics of traditional Chinese medicine,looking for both conforms to the original thinking of TCM,and TCM tongue diagnosis method of accurately,has become a common concern of traditional Chinese medicine and computer field.From the mobile terminal tongue as auxiliary diagnostic system of traditional Chinese medicine tongue acquisition basic attribute,tongue diagnosis and image information building,tongue like features are required for accurate extraction and so on related key technology is analyzed,and build overall architecture,so as to provide technical reference for the tongue like intelligent diagnosis,promote the development of technology of tongue diagnosis in traditional Chinese medicine modernization.
作者
张世祺
杨珺涵
孙宇衡
尹妮
李腾
吴海波
高诗岳
王基实
陈智慧
李相泽
张哲
ZHANG Shiqi;YANG Junhan;SUN Yuheng;YIN Ni;LI Teng;WU Haibo;GAO Shiyue;WANG Ji Shi;CHEN Zhihui;LI Xiangze;ZHANG Zhe(Liaoning University of Traditional Chinese Medicine,Shenyang 100847;Affiliated Hospital of Liaoning University of Traditional Chinese Medicine,Shenyang 110032,China;Lanpu Jinjing(Beijing)Technology Co.,LTD.,Hunan 410000,China;Key Laboratory of Theory and Application of TCM Viscera,Ministry of Education,Liaoning University of Traditional Chinese Medicine,Shenyang 110847,China;Key Laboratory of the State Central Administration for the Treatment of Vascular Diseases by Phlegm and Blood Stasis,Affiliated Hospital of Liaoning University of Traditional Chinese Medicine,Shenyang 110032,China;Shenyang Vocational and Technical College,Shenyang 110045,China)
出处
《世界科学技术-中医药现代化》
CSCD
北大核心
2024年第6期1618-1637,共20页
Modernization of Traditional Chinese Medicine and Materia Medica-World Science and Technology
基金
国家中医药管理局青年岐黄学者支持项目(20201A2180):国家中医药管理局首批青年岐黄学者支持项目
负责人:张哲。
关键词
舌象数字化分析
关键技术
舌诊
特征提取
Digital analysis of tongue image
Key technology
Tongue diagnosis
Feature extraction