Discriminant system for severity of prostate tumor

T. Tanaka, A. Suzuki

研究成果: Conference contribution

抄録

In this study, we make a system which automatically discriminates the severity of prostate tumor. This system includes the automatic gland extraction and the support vector machine as discriminant analysis. The automatic gland extraction is difficult in recent studies because of ill-defined of glands. Also, support vector machine makes up for a fault of discriminant analysis, Mahalanobis' generalized distance which was used in recent studies. As the result of that, the rate of accuracy for discriminant is individually 96.0% as the first step , and 80.9% as the second step, so we confirm the usefulness of the algorism used in this study.

本文言語English
ホスト出版物のタイトルWorld Congress on Medical Physics and Biomedical Engineering
ホスト出版物のサブタイトルImage Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
出版社Springer Verlag
ページ720-723
ページ数4
4
ISBN(印刷版)9783642038815
DOI
出版ステータスPublished - 2009
イベントWorld Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics - Munich, Germany
継続期間: 2009 9 72009 9 12

出版物シリーズ

名前IFMBE Proceedings
番号4
25
ISSN(印刷版)1680-0737

Other

OtherWorld Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
国/地域Germany
CityMunich
Period09/9/709/9/12

ASJC Scopus subject areas

  • バイオエンジニアリング
  • 生体医工学

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