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

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

doi:10.1007/11552413_180

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

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English
Title of host publication	Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings
Publisher	Springer Verlag
Pages	1261-1267
Number of pages	7
ISBN (Print)	3540288945, 9783540288947
DOIs	https://doi.org/10.1007/11552413_180
Publication status	Published - 2005
Externally published	Yes
Event	9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005 - Melbourne, Australia Duration: 2005 Sep 14 → 2005 Sep 16

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3681 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005
Country	Australia
City	Melbourne
Period	05/9/14 → 05/9/16

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

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Kubota, Y., Mitsukura, Y., Fukumi, M., Akamatsu, N., & Yasutomo, M. (2005). Automatic extraction system of a kidney region based on the Q-learning. In Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings (pp. 1261-1267). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3681 LNAI). Springer Verlag. https://doi.org/10.1007/11552413_180

Automatic extraction system of a kidney region based on the Q-learning. / Kubota, Yoshiki; Mitsukura, Yasue; Fukumi, Minoru; Akamatsu, Norio; Yasutomo, Motokatsu.

Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings. Springer Verlag, 2005. p. 1261-1267 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3681 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kubota, Y, Mitsukura, Y, Fukumi, M, Akamatsu, N & Yasutomo, M 2005, Automatic extraction system of a kidney region based on the Q-learning. in Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3681 LNAI, Springer Verlag, pp. 1261-1267, 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005, Melbourne, Australia, 05/9/14. https://doi.org/10.1007/11552413_180

Kubota Y, Mitsukura Y, Fukumi M, Akamatsu N, Yasutomo M. Automatic extraction system of a kidney region based on the Q-learning. In Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings. Springer Verlag. 2005. p. 1261-1267. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/11552413_180

Kubota, Yoshiki ; Mitsukura, Yasue ; Fukumi, Minoru ; Akamatsu, Norio ; Yasutomo, Motokatsu. / Automatic extraction system of a kidney region based on the Q-learning. Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings. Springer Verlag, 2005. pp. 1261-1267 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "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.",

author = "Yoshiki Kubota and Yasue Mitsukura and Minoru Fukumi and Norio Akamatsu and Motokatsu Yasutomo",

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AB - 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.

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

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