Computer-aided disease diagnosis system in TCM based on facial image analysis

Xiaoqiang Li, Fufeng Li, Yiqin Wang, P. Qian, Xiaoyan Zheng
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引用次数: 26

Abstract

Diagnosing diseases through observing the personal face is the Traditional Chinese Medicine (TCM), which is a unique diagnostic method. Clinical experiences in TCM have proved that facial complexion can tell whether the one is healthy. A novel Computer-Aided Disease Diagnosis System (CADDS), acquiring the facial complexion information based on analysing image captured by digital camera, is proposed in this paper. System architecture and image analysis method are carefully illustrated. CADDS was developed for assistant facial-complexion-based diagnosis, which standardised the method to acquire the facial complexion information and avoids depending on the physician's experience and illumination condition. This study is helpful in promoting quantitative-analysis-based diagnosis in TCM.
基于面部图像分析的中医计算机辅助疾病诊断系统
通过观察脸部来诊断疾病是中医,是一种独特的诊断方法。中医临床经验证明,面部肤色可以判断一个人是否健康。本文提出了一种新的计算机辅助疾病诊断系统(cadd),该系统通过对数码相机拍摄的图像进行分析,获取面部肤色信息。详细说明了系统结构和图像分析方法。cadd是一种基于面部肤色的辅助诊断方法,它规范了获取面部肤色信息的方法,避免了对医生经验和光照条件的依赖。本研究有助于促进中医定量诊断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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