Automatic extraction of a kidney region by using the Q-leaning

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

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

In these years, owing to aging population and Western-style food, kidney disease patients are increasing. It is difficult for people to recover all of kidney disease. Early detection of a kidney disease is therefore needed. But diagnosis based on CT images has faults that are time-consuming and a great labor is required since the quantity of CT images is huge. In this paper, we propose a method that automatically extracts a kidney region as a preprocessing of kidney failure detection. The kidney region is detected based on contour information that is extracted from the CT image using a dynamic gray scale value refinement method by Q-learning. It is demonstrated that the proposed method can detect stably the kidney from CT images of any patients.

本文言語English
ホスト出版物のタイトルProceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004
編集者S.J. Ko
ページ536-540
ページ数5
出版ステータスPublished - 2004
外部発表はい
イベントProceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004 - Seoul, Korea, Republic of
継続期間: 2004 11 182004 11 19

出版物シリーズ

名前Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004

Other

OtherProceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004
国/地域Korea, Republic of
CitySeoul
Period04/11/1804/11/19

ASJC Scopus subject areas

  • 工学(全般)

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