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作 者:江涛 屠立平[1] 许家佗[1] JIANG Tao;TU Liping;XU Jiatuo(School of Traditional Chinese Medicine,Shanghai University of Traditional Chinese Medicine,Shanghai 201203,China)
出 处:《中国中医药信息杂志》2024年第7期182-187,共6页Chinese Journal of Information on Traditional Chinese Medicine
基 金:国家自然科学基金(82104738);国家重点研发计划(2017YFC1703301);中国博士后科学基金面上项目(2023M732337);上海市科委地方院校能力提升项目(21010504400);上海市“超级博士后”激励计划(2022509)。
摘 要:中医舌诊现代化研究是通过机器视觉与图像处理技术获取病证舌诊图像,进行智能诊断与分析的复杂过程。人工智能技术的发展为中医舌诊图像智能化研究带来新机遇。本文梳理近10年中医舌诊仪器研发与标准应用现状,探讨深度学习方法在舌象质量评估、舌象分割、舌色分类、舌象形质识别、三维舌象重建及临床应用研究进展,剖析人工智能舌诊技术目前存在的瓶颈问题,提出面向临床病证结合应用,多层次拓展、跨模态融合提升舌诊特征的深度与广度,运用通用人工智能方法提升舌象智能诊断技术内涵,创新构建智能舌诊全域信息感知与健康评估、病证诊断的新模式,推进智慧中医诊疗技术实现跨越式发展。The modernization research of TCM tongue diagnosis involves a complex process of acquiring tongue diagnosis images of diseases and syndromes through machine vision and image processing technology,and conducting intelligent diagnosis and analysis.The development of artificial intelligence technology has brought new opportunities for the intelligent research of tongue diagnosis images in TCM.This article systematically reviewed the current status of the development and standard application of TCM tongue diagnosis instruments in the past decade,discussed the latest research progress in deep learning methods including tongue image quality assessment,tongue image segmentation,tongue color classification,tongue image pattern recognition,three-dimensional tongue image reconstruction,and clinical applications.It deeply analyzed the bottleneck problems existing in the current artificial intelligence tongue diagnosis technology,proposed to focus on clinical disease-syndrome combined applications,multi-level expansion,cross-modal fusion to enhance the depth and breadth of tongue diagnosis features,utilize general artificial intelligence methods to enhance the intelligence diagnosis technology of tongue images,innovate and construct a new model of intelligent tongue diagnosis with full-domain information perception,health assessment,and disease-syndrome diagnosis,in order to promote the leapfrog development of intelligent TCM diagnosis and treatment technology.
分 类 号:R241.24[医药卫生—中医诊断学] R2-03[医药卫生—中医临床基础]
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