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| Presentation | 2014-01-26 10:30 Exact solution method for MRF model-based image segmentation based on continuous optimization -- Application to abdominal CT image and performance evaluation -- Takahiro Tayama, Hiroyuki Kudo, Hotaka Takizawa (Univ. of Tsukuba)  MI2013-58 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The medical image segmentation helps physicians to find diseased internal organs to perform the computer aided diagnosis or to determine the treatment policy. A popular method for the medical image segmentation is the graph cut algorithm to optimize the discrete function. However it’s known that the graph cut algorithm requires the huge memory usage and accordingly it’s difficult to improve the accuracy. In this paper, we proposed a new method which optimizes the same energy function and evaluates the performance using abdominal CT images. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Segmentation / Markov Random Field / Energy minimization / Submodular function / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 113, no. 410, MI2013-58, pp. 13-18, Jan. 2014. | |
| Paper # | MI2013-58 | |
| Date of Issue | 2014-01-19 (MI) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | MI2013-58 |
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| Conference Information | |
| Committee | MI |
| Conference Date | 2014-01-26 - 2014-01-27 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Bunka Tenbusu Kan |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Computer Assisted Diagnosis and Therapy Based on Computational Anatomy, etc. |
| Paper Information | |
| Registration To | MI |
| Conference Code | 2014-01-MI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Exact solution method for MRF model-based image segmentation based on continuous optimization |
| Sub Title (in English) | Application to abdominal CT image and performance evaluation |
| Keyword(1) | Segmentation |
| Keyword(2) | Markov Random Field |
| Keyword(3) | Energy minimization |
| Keyword(4) | Submodular function |
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| 1st Author's Name | Takahiro Tayama |
| 1st Author's Affiliation | University Of Tsukuba (Univ. of Tsukuba) |
| 2nd Author's Name | Hiroyuki Kudo |
| 2nd Author's Affiliation | University Of Tsukuba (Univ. of Tsukuba) |
| 3rd Author's Name | Hotaka Takizawa |
| 3rd Author's Affiliation | University Of Tsukuba (Univ. of Tsukuba) |
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| Speaker | Author-1 |
| Date Time | 2014-01-26 10:30:00 |
| Presentation Time | 15 minutes |
| Registration for | MI |
| Paper # | MI2013-58 |
| Volume (vol) | vol.113 |
| Number (no) | no.410 |
| Page | pp.13-18 |
| #Pages | 6 |
| Date of Issue | 2014-01-19 (MI) |
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