世界科学技术-中医药现代化2025，Vol.27Issue(5)：1207-1218,12.DOI:10.11842/wst.20240410004
基于关系网络的中医舌色苔色协同分类方法
A TCM Tongue Color and Coating Color Collaborative Classification Method Based on Relation Network
摘要
Abstract
Objective There are so many tongue diagnosis features that need to be analyzed in Traditional Chinese Medicine(TCM),including tongue color,coating color,tongue morphology,and tongue dynamics,with about 30 different categories.Different tongue diagnosis features are often analyzed by individual methods,which fails to fully utilize the correlation between diagnostic features and greatly increases the overall implementation complexity of the TCM analysis system.Methods Therefore,in this paper,a TCM tongue color and coating color collaborative classification method based on relation network has been proposed.Firstly,a dual branch lightweight convolutional neural network has been constructed.By designing low and high layer feature fusion modules and combining Coordinate Attention mechanism,high classification accuracy can be achieved with lower model complexity.Secondly,a network for the tongue color and coating color relationship leaning has been designed to model the correlation between the two labels.By the network,the nonlinear information can be learned,which is used as a supplement for collaborative classification.Results The experimental results on two self-established TCM tongue diagnosis feature analysis datasets show that,the accuracy of tongue color classification reaches 95.17%and 93.67%respectively,while that of coating color classification reaches 91.11%and 90.53%respectively.Conclusion The proposed collaborative classification method can improve the classification accuracy of the two tasks,but simultaneously,the overall model complexity is reduced by almost half.关键词
中医舌诊/舌色苔色协同分类/深度学习/关系网络/特征融合Key words
TCM tongue diagnosis/Collaborative classification of tongue color and coating color/Deep learning/Relational network/Feature fusion分类
医药卫生引用本文复制引用
王恩慈,卓力,李艳萍,王欣,杨洋,魏玮..基于关系网络的中医舌色苔色协同分类方法[J].世界科学技术-中医药现代化,2025,27(5):1207-1218,12.基金项目
国家自然科学基金委员会重点项目(62431001):多模态舌象信息感知与智能分析,负责人:卓力 （62431001）
国家中医药管理局中医药创新团队及人才支持计划项目(ZYYCXTD-C-202210):中医药防治消化道癌前疾病传承与创新团队,负责人:魏玮. （ZYYCXTD-C-202210）
