Automatic malignancy classification of colon tumor by feature analysis of biopsy images

Takatoshi Karino, Toshiyuki Tanaka

研究成果: Paper査読

抄録

We intend to construct a system to automatically diagnose malignant potential of colon biopsies. First, we classified biopsies components (nuclei, cytoplasm and interstitium) by discriminant analysis method with Mahalanobis's generalized distance and Otsu method twice. Furthermore, only ductal nuclei were sorted out from the other nuclei by using differences of areas and densities of edges, that is high in lymphoid follicles. We proposed a method for quantifying pseudostratified nuclei by a measure of thickness of ductal nuclei and methods for quantifying structural atypia by fractal dimension analysis with Box-counting method and HLAC features. Moreover, poorly and moderately differentiated carcinoma in Group5 was able to be discriminated with high accuracy by density of labeled ranges. With these features, biopsies' images were classified into 4 Groups by support vector machine.

本文言語English
ページ1820-1824
ページ数5
出版ステータスPublished - 2013 1月 1
イベント2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013 - Nagoya, Japan
継続期間: 2013 9月 142013 9月 17

Other

Other2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013
国/地域Japan
CityNagoya
Period13/9/1413/9/17

ASJC Scopus subject areas

  • 制御およびシステム工学
  • コンピュータ サイエンスの応用
  • 電子工学および電気工学

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