Automatic extraction system of a kidney region based on the Q-learning

Yoshiki Kubota, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu, Motokatsu Yasutomo

研究成果: Conference contribution

抄録

In this paper, a kidney region is extracted as a preprocessing of kidney disease detection. The kidney region is detected based on its contour information that is extracted from a CT image using a dynamic gray scale value refinement method based on the Q-learning. An initial point to extract the kidney contour is decided by training gray scale values along horizontal direction with Neural Network (NN). Furthermore the kidney contour is corrected by using the snakes more accurately. It is demonstrated that the proposed method can detect stably the kidney contour from CT images of any patients.

本文言語English
ホスト出版物のタイトルKnowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings
出版社Springer Verlag
ページ1261-1267
ページ数7
ISBN(印刷版)3540288945, 9783540288947
DOI
出版ステータスPublished - 2005
外部発表はい
イベント9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005 - Melbourne, Australia
継続期間: 2005 9 142005 9 16

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3681 LNAI
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005
国/地域Australia
CityMelbourne
Period05/9/1405/9/16

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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