Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)

The Institute of Electronics and Information Engineers (대한전자공학회)
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A Basal Cell Carcinoma Classifier with an Ambiguous Category

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  • Park, Aa-Ron (The School of Electronics and Computer Engineering Chonnam National University) ;
  • Min, So-Hee (The School of Electronics and Computer Engineering Chonnam National University) ;
  • Baek, Seong-Joon (The School of Electronics and Computer Engineering Chonnam National University) ;
  • Na, Seung-Yu (The School of Electronics and Computer Engineering Chonnam National University)
  • 박아론 (전남대학교 전자컴퓨터공학부) ;
  • 민소희 (전남대학교 전자컴퓨터공학부) ;
  • 백성준 (전남대학교 전자컴퓨터공학부) ;
  • 나승유 (전남대학교 전자컴퓨터공학부)
  • Published : 2006.06.21
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Abstract

According to the previous work, various well known methods including maximum a posteriori probability classifier (MAP) and multi layer perceptron networks classifier (MLP) showed competitive results. Since even the small errors often leads to a fatal result, we investigated the method that reduces classification error perfectly by screening out some ambiguous patterns. Those ambiguous patterns can be examined by routine biopsy. We incorporated an ambiguous category in MAP and MLP. Classification results involving 216 spectra gave 100% sensitivity for the case of MLP.

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