대한전자공학회:학술대회논문집 (Proceedings of the IEEK Conference)

대한전자공학회 (The Institute of Electronics and Information Engineers)
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공초점 라만스펙트럼을 이용한 자동 기저세포암 검출

Automatic Basal Cell Carcinoma Detection using Confocal Raman Spectra

  • Min, So-Hee (Department of Electronics Engineering Chonnam National University) ;
  • Park, Aaron (Department of Electronics Engineering Chonnam National University) ;
  • Baek, Seong-Joon (Department of Electronics Engineering Chonnam National University) ;
  • Kim, Jin-Young (Department of Electronics Engineering Chonnam National University)
  • 발행 : 2006.06.21
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초록

Raman spectroscopy has strong potential for providing noninvasive dermatological diagnosis of skin cancer. In this study, we investigated two classification methods with maximum a posteriori (MAP) probability and multi-layer perceptron (MLP) classification. The classification framework consists of preprocessing of Raman spectra, feature extraction, and classification. In the preprocessing step, a simple windowing method is proposed to obtain robust features. Classification results with MLP involving 216 spectra preprocessed with the proposed method gave 97.3% sensitivity, which is very promising results for automatic Basal Cell Carcinoma (BCC) detection.

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