ソフトコンピューティングを利用した口腔粘膜疾患診断支援システムの開発

  • 斎藤 謙太郎
    九州歯科大学生体機能学講座顎顔面外科学分野
  • 土生 学
    九州歯科大学生体機能学講座顎顔面外科学分野
  • 國領 真也
    九州歯科大学生体機能学講座口腔内科学分野
  • 大谷 泰志
    福岡大学医学部医学科歯科口腔外科学講座
  • 堀尾 恵一
    九州工業大学大学院生命体工学研究科
  • 吉岡 泉
    九州歯科大学生体機能学講座口腔内科学分野
  • 冨永 和宏
    九州歯科大学生体機能学講座顎顔面外科学分野

書誌事項

タイトル別名
  • Development of Diagnostic Support System for the Oral Mucosal Diseases Using Soft Computing

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We developed a computer system to assist the differential diagnosis of clinically important oral mucosal diseases of oral squamous cell carcinoma, leukoplakia, and oral lichen planus using intraoral photographs. In 2013, we reported the use of a fuzzy inference-based soft computing diagnostic system for oral mucosal diseases. In the current study, we replaced the fuzzy inference system with a support vector machine and used five features for identifying disease characteristics after upgrading the soft computing system. We used digital intraoral photographs of oral squamous cell carcinoma, leukoplakia, oral lichen planus, and normal mucosa to validate the soft computing system. The resultant sensitivity values for oral squamous cell carcinoma, leukoplakia, oral lichen planus, and normal oral mucosa were 90%, 90%, 87%, and 93%, respectively, and the specificity values were 97%, 92%, 98%, and 100%, respectively. Therefore, the soft computing system developed in this study can be used as a diagnosis support system for clinically important oral mucosal diseases.

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