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Paper Abstract and Keywords
Presentation 2009-07-15 16:40
Advanced Pancreas Segmentation from Three Dimensional Contrast Enhanced CT Images by Ensemble Learning
Hiroaki Ochiai, Akinobu Shimizu, Hidefumi Kobatake (TUAT), Shigeru Nawano (IUHW), Kenji Shinozaki (NKCC) MI2009-52
Abstract (in Japanese) (See Japanese page) 
(in English) This paper presents an ensemble segmentation to improve performance of pancreas segmentation from three dimensional contrast enhanced CT images. An ensemble segmentation is a process that consists of several hundred weak segmentation processes, which are combined into one using a machine learning algorithm, such as boosting. So far, various boosting algorithms have been proposed. In this paper, we focus on robustness against outlier, robustness against mislabel, cost for false positive and negative, convergence of learning algorithm and classify boosting algorithms into four groups according to the characteristics. We compare the performance of generated segmentation algorithms in each group and determine the best algorithm at each group. Finally, we combine the best algorithms to construct a pancreas segmentation process. In this study, we used three phase contrast enhanced CT volumes from 33 cases to train the segmentation algorithms and applied them to CT volumes from unknown 20 cases for testing. The paper shows the experimental results and discusses its effectiveness by comparing to our previous one.
Keyword (in Japanese) (See Japanese page) 
(in English) CT / pancreas / segmentation / boosting / / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 127, MI2009-52, pp. 69-74, July 2009.
Paper # MI2009-52 
Date of Issue 2009-07-08 (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 MI2009-52

Conference Information
Committee MI  
Conference Date 2009-07-15 - 2009-07-15 
Place (in Japanese) (See Japanese page) 
Place (in English) AIST Tokyo waterfront annex 11F meeting room #1 
Topics (in Japanese) (See Japanese page) 
Topics (in English) general medical imaging 
Paper Information
Registration To MI 
Conference Code 2009-07-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Advanced Pancreas Segmentation from Three Dimensional Contrast Enhanced CT Images by Ensemble Learning 
Sub Title (in English)  
Keyword(1) CT  
Keyword(2) pancreas  
Keyword(3) segmentation  
Keyword(4) boosting  
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1st Author's Name Hiroaki Ochiai  
1st Author's Affiliation Tokyo University of Agriculture and Technology (TUAT)
2nd Author's Name Akinobu Shimizu  
2nd Author's Affiliation Tokyo University of Agriculture and Technology (TUAT)
3rd Author's Name Hidefumi Kobatake  
3rd Author's Affiliation Tokyo University of Agriculture and Technology (TUAT)
4th Author's Name Shigeru Nawano  
4th Author's Affiliation International University of Health and Welfare, Mita Hospital (IUHW)
5th Author's Name Kenji Shinozaki  
5th Author's Affiliation National Kyusyu Cancer Center (NKCC)
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Speaker Author-1 
Date Time 2009-07-15 16:40:00 
Presentation Time 20 minutes 
Registration for MI 
Paper # MI2009-52 
Volume (vol) vol.109 
Number (no) no.127 
Page pp.69-74 
#Pages 6 
Date of Issue 2009-07-08 (MI) 

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