Yusaku Nishi, K. Horio, Kentaro Saito, M. Habu, K. Tominaga
{"title":"Discrimination of Oral Mucosal Disease Inspired by Diagnostic Process of Specialist","authors":"Yusaku Nishi, K. Horio, Kentaro Saito, M. Habu, K. Tominaga","doi":"10.12720/JOMB.2.1.57-61","DOIUrl":null,"url":null,"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. ","PeriodicalId":437476,"journal":{"name":"Journal of medical and bioengineering","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of medical and bioengineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12720/JOMB.2.1.57-61","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
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.