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http://dx.doi.org/10.5573/ieie.2014.51.6.175

Implementation of Computerized Assistant Diagnosis Software for Tongue Diagnosis in the Oriental Medicine  

Lee, Woo Beom (School of Computer Information Engineering, Sangji University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.51, no.6, 2014 , pp. 175-182 More about this Journal
Abstract
Development of an objective diagnosis index for diagnosing a the beginning nature of a disease is the most one of tongue diagnosis in the oriental medicine. However, previous systems have a difficult problem in the creation of objective diagnosis index, and focused on the expert system that can diagnose automatically without an oriental doctor behavior. Therefore, computerized assistant diagnosis software for calculating an optimized diagnosis index is proposed in this paper. This software is operated by the diagnosing behavior of oriental doctor. As developed software is a semi-automatic system, manual method is used to segment a tongue body. Futhermore, numerical diagnosis indices including the color information of non-tongue coating and tongue coating, WTCI are provided to oriental doctor automatically and real-timely. Also, probability estimation value for classifying no coating, thin coating, and thick coating is presented by using the tongue coating area ratio, and EMR chart can use for convenience of diagnosis. In order to evaluate the effectiveness of the our developed software, after building a various tongue image from 60 subjects, we experimented on diagnosis image with our software. As a result, the developed software showed the 95% use-effectiveness of subjects.
Keywords
Tongue Diagnosis; Diagnosis Index; Tongue Coating; Tong Body; Oriental Medicine; Computerized Assistant Diagnosis Software; EMR chart;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 G. Kim, "the past and future trends in tongue diagnosis", IEIE, vol.37(7), pp.702-211, 2010. 7.
2 Y. Wang, et al., "Region partition and feature matching based color recognition of tongue image", Pattern Recognition Letters, vol.28(1), pp. 11-19, 2007. 1.   DOI   ScienceOn
3 X. Wang, "A high quality color imaging system for computerized tongue image analysis", Expert Systems with Applications, vol.40(15), pp. 5854- 5866, 2013. 11.   DOI   ScienceOn
4 C. Jung, et al., "Review on the current trends in tongue diagnosis systems", Integrative Medicine Research, vol.1(1), pp. 13-20, 2012. 12.   DOI
5 C. Choi, W. Lee, et al., "Coated Tongue Region Extraction using the Fluorescence Response of the Tongue Coating by Ultraviolet Light Source", IIBC, vo.12(4), pp. 181-188, 2012. 8.   과학기술학회마을   DOI   ScienceOn
6 W. Lee, et al., "Computerized assistant diagnosis system for tongue diagnosis in oriental medicine", IPIU2012 Jeju KOREA, P-114, 2012. 2.
7 J. Canny, "A Computational Approach to Edge Detection", IEEE Trans. on Pattern Analysis Machine Intelligence, vol.8(6), pp.679-698, 1986.
8 J. Kim, et al., "Development of differential criteria on tongue coating thickness in tongue diagnosis", Complementary Therapies in Medicine, vol.20(5), pp. 316-322, 2012. 10.   DOI
9 Rafael C. Gonzalez, "Digital Image Processing Using MATLAB", Prentice Hall, 2003
10 E. G. Winkel, et al., "Clinical effects of a new mouthrinse containing chlorhexidine, cetylpyridinium chloride and zinc-lactate on oral halitosis", Journal of Clinical Periodontology, vol.30(4), pp.300-306, 2003.   DOI   ScienceOn