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 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 1261-1267 |
| Number of pages | 7 |
| Volume | 3681 LNAI |
| 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) | 03029743 |
| ISSN (Electronic) | 16113349 |
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 |
Fingerprint
ASJC Scopus subject areas
- Computer Science(all)
- Biochemistry, Genetics and Molecular Biology(all)
- Theoretical Computer Science
Cite this
Automatic extraction system of a kidney region based on the Q-learning. / Kubota, Yoshiki; Mitsukura, Yasue; Fukumi, Minoru; Akamatsu, Norio; Yasutomo, Motokatsu.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3681 LNAI 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
}
TY - GEN
T1 - Automatic extraction system of a kidney region based on the Q-learning
AU - Kubota, Yoshiki
AU - Mitsukura, Yasue
AU - Fukumi, Minoru
AU - Akamatsu, Norio
AU - Yasutomo, Motokatsu
PY - 2005
Y1 - 2005
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=33745291744&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33745291744&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:33745291744
SN - 3540288945
SN - 9783540288947
VL - 3681 LNAI
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 1261
EP - 1267
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -