Constructing an Artificial Intelligent Deep Neural Network Battery for Tongue Region Segmentation and Tongue Characteristic Recognition  

作　　者：Tian-Xing Yi Jian-Xin Chen Xue-Song Wang Meng-Jie Kou Qing-Qiong Deng Xu Wang 

机构地区：[1]Integrative Medicine Center,School of Life Sciences,Beijing University of Chinese Medicine,Beijing,China [2]Department of Integrated Chinese and Western Medicine Pharmacology,School of Traditional Chinese Medicine,Beijing University of Chinese Medicine,Beijing,China [3]Ministry of Education Engineering Research Center for Virtual Reality Applications,School of Artificial Intelligence,Beijing Normal University,Beijing,China [4]Department of Artificial Intelligence,College of Information,North China University of Technology,Beijing,China

出　　处：《World Journal of Traditional Chinese Medicine》2024年第4期460-464,共5页世界中医药杂志(英文)

基　　金：supported by the National Natural Science Foundation of China (Nos.82174224 and 82004222);the Key Research Program of the Chinese Academy of Sciences (ZDRW-ZS-2021-1-2)

摘　　要：Objective:This study aimed to construct a two-stage deep learning framework to segment and recognize tongue images and enhance the accuracy and efficiency of artificial intelligence(AI) tongue diagnosis in traditional Chinese medicine(TCM).Materials:and Methods:Five hundred and ninety-four tongue images of adequate quality were used to construct AI models.First,a multi-attention UNet model was used for semantic segmentation to distinguish the tongue body from the background.In the second stage,a residual network was employed to classify seven important tongue characteristics.Results:The segmentation model achieved 96.12% mean intersection over union,98.91% mean pixel accuracy,and 97.15% mean precision.The classification models exhibited robustness across seven distinct characteristics with an overall accuracy >80%.The se results indicated that the constructed models have potential applications in TCM.Conclusions:This two-stage approach not only streamlines the analysis of tongue images but also sets a new benchmark for accuracy in medical image processing in the field.

关 键 词：Artificial intelligence deep learning tongue characteristic recognition tongue diagnosis tongue segmentation traditional Chinese medicine 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP391.41[自动化与计算机技术—控制科学与工程] R241.25[医药卫生—中医诊断学]