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Paper Abstract and Keywords
Presentation 2009-07-15 17:20
Metastatic Liver Tumor Segmentation from Plain and Contrast Enhanced Computed Tomography
Takuya Narihira, Akinobu Shimizu, Hidefumi Kobatake (TUAT), Shigeru Nawano (IUHW), Kenji Shinozaki (NKCC) MI2009-54
Abstract (in Japanese) (See Japanese page) 
(in English) This paper presents an automated metastatic liver tumor segmentation process from plane and portal venous CT volumes. First we propose an automated segmentation method based on shape constrained graph cut algorithm to extract sidewall of body cavity, diaphragm and liver. Multi phase CT volumes provide helpful information in diagnosis. However, it is difficult for a single process to use the information effectively. We have aimed to develop an accurate process by combining many weak segmentation processes using a boosting algorithm. This paper shows the results of evaluating these algorithms by cross-validation using 20 set of CT volumes.
Keyword (in Japanese) (See Japanese page) 
(in English) CT image / boosting / liver / metastatic tumor / segmentation / graph cut / statistical shape model /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 127, MI2009-54, pp. 79-84, July 2009.
Paper # MI2009-54 
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 MI2009-54

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) Metastatic Liver Tumor Segmentation from Plain and Contrast Enhanced Computed Tomography 
Sub Title (in English)  
Keyword(1) CT image  
Keyword(2) boosting  
Keyword(3) liver  
Keyword(4) metastatic tumor  
Keyword(5) segmentation  
Keyword(6) graph cut  
Keyword(7) statistical shape model  
Keyword(8)  
1st Author's Name Takuya Narihira  
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 Center for Radiological Sciences, International University of Health and Welfare (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 17:20:00 
Presentation Time 20 minutes 
Registration for MI 
Paper # MI2009-54 
Volume (vol) vol.109 
Number (no) no.127 
Page pp.79-84 
#Pages 6 
Date of Issue 2009-07-08 (MI) 

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