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Discrimination of Oral Mucosal Disease Inspired by Diagnostic Process of Specialist

Yusaku Nishi 1, Keiichi Horio 1, Kentaro Saito 2, Manabu Habu 2, and Kazuhiro Tominaga 2
1. Kyushu Institute of Technology/Graduate School of Life Science and Systems Engineering, Kitakyushu 808-0196 Japan
2. Kyushu Dental College/Department of Oral and Maxillofacial Surgery, Kitakyushu, 803-8580 Japan
Abstract—A discrimination of oral mucosal diseases is very important in clinical site. Therefore, a development of a screening support system for oral mucosal diseases which supports the diagnosis of clinical dentist is required. In this paper, a discrimination method based on fuzzy inference using four attributes (existence of vitiligos, bulges, granular patterns, and reddening) for oral mucosal diseases is proposed. As the results of the experiment, the discrimination rates of squamous cell carcinoma, leukoplakia and lichen planus were 87%, 70% and 87%, respectively. The results suggest that the proposed method is effective in discriminating oral mucosal diseases.

Index Terms—oral mucosal disease, diagnosis support system, fuzzy inference,  intraoral image

Cite:Yusaku Nishi, Keiichi Horio, Kentaro Saito, Manabu Habu, and Kazuhiro Tominaga, "Discrimination of Oral Mucosal Disease Inspired by Diagnostic Process of Specialist", Journal of Medical and Bioengineering vol. 2, no. 1, pp.57-61, 2013. doi: 10.12720/jomb.2.1.57-61 
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