Glomerulus extraction by using genetic algorithm for edge patching

Jiaxin Ma*, Jun Zhang, Jinglu Hu

*この研究の対応する著者

研究成果: Conference contribution

13 被引用数 (Scopus)

抄録

Abstract-Glomerulus is the filtering unit of the kidney. In the computer aided diagnosis system designed for kidney disease, glomerulus extraction is an important step for analyzing kidney-tissue image. Against the disadvantages of traditional methods, this paper proposes a glomerulus extraction method using genetic algorithm for edge patching.Firstly, Canny edge detector is applied to get discontinuous edges of glomerulus. After labeling to remove the noises,genetic algorithm is used to search for optimal patching segments to join those edges together. Lastly, the edges and the patching segments with high fitness would be able to form the whole edge of the glomerulus. Experiments and comparisons indicate the proposed method can extract the glomerulus fromkidney-tissue image both fast and accurately.

本文言語English
ホスト出版物のタイトル2009 IEEE Congress on Evolutionary Computation, CEC 2009
ページ2474-2479
ページ数6
DOI
出版ステータスPublished - 2009
イベント2009 IEEE Congress on Evolutionary Computation, CEC 2009 - Trondheim, Norway
継続期間: 2009 5 182009 5 21

出版物シリーズ

名前2009 IEEE Congress on Evolutionary Computation, CEC 2009

Conference

Conference2009 IEEE Congress on Evolutionary Computation, CEC 2009
国/地域Norway
CityTrondheim
Period09/5/1809/5/21

ASJC Scopus subject areas

  • 人工知能
  • 計算理論と計算数学
  • 理論的コンピュータサイエンス

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