A method to extract liver tumors in CT images using genetic algorithms and neural networks

Eisaku Ohta, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu, Motokatsu Yasutomo

研究成果: Conference article査読

4 被引用数 (Scopus)

抄録

Recently, organ illness discovery in which medical image analysis can be used has been researched actively. Though such a research proceeds through the extraction of pulmonary tumors, there is little research on the extraction of liver tumors. This is because there is no difference in concentrated value in the liver CT image of a healthy part and parts with the tumor. In this paper, the extraction method of such liver tumors is proposed. Furthermore, in order to demonstrate the effectiveness of the proposed scheme, we show a simulation example, using real CT image data.

本文言語English
ページ(範囲)801-805
ページ数5
ジャーナルProceedings of the IEEE International Conference on Systems, Man and Cybernetics
2
出版ステータスPublished - 2001 12月 1
外部発表はい
イベント2001 IEEE International Conference on Systems, Man and Cybernetics - Tucson, AZ, United States
継続期間: 2001 10月 72001 10月 10

ASJC Scopus subject areas

  • 制御およびシステム工学
  • ハードウェアとアーキテクチャ

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