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Title: Computer aided tongue diagnosis system
Authors: Zhang, HZ
Wang, KQ
Zhang, D 
Pang, B
Huang, B
Keywords: Bayesian network
Color correction
Computer aided tongue diagnosis
TCM modernization
Issue Date: 2005
Source: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, 2005, v. 7 VOLS, 1616055, p. 6754-6757 How to cite?
Abstract: To circumvent the subjective and qualitative problems of traditional tongue diagnosis, we present a novel computer aided tongue diagnosis system (CATDS). In this system, a standard acquisition device as well as a new color correction method is utilized to capture qualified tongue images. The system is constituted by five components: User Interface Module, Acquisition Module, Tongue Image Database, Image Preprocessing Module and Diagnosis Engine. In contrast to existing CATDS, the proposed system aims to establish the relationship between quantitative features and diseases via the Bayesian networks. System tests are carried out on a group of 544 patients affected by 9 common diseases and 56 healthy volunteers. The results show that the system can properly identify six groups: healthy, pulmonary heart disease, appendicitis, gastritis, pancreatitis and bronchitis with accuracy higher than 75%. Moreover, the execution time for the whole diagnosis process including image preprocessing and diagnosis is less than 5 seconds.
Description: 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005, Shanghai, 1-4 September 2005
ISBN: 0780387406
ISSN: 0589-1019
Appears in Collections:Conference Paper

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