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Paper Abstract and Keywords
Presentation 2014-01-26 13:30
Automatic segmentation of multiple organ regions from 3D CT images using GrabCut and organ detection
Takaaki Ito, Xiangrong Zhou, Takeshi Hara (Gifu Univ.), Huiyan Jiang (Northeastern Univ.), Ryujiro Yokoyama, Huayue Chen (Gifu Univ.), Masayuki Kanematsu (Gifu Univ Hospital), Hiroaki Hoshi, Hiroshi Fujita (Gifu Univ.) MI2013-61
Abstract (in Japanese) (See Japanese page) 
(in English) Automatic segmentation of organs from CT images is one of very important issues in developing. GraphCut is useful for the automatic segmentation of organs.This method was detected organ position by the pattern matching ensemble learning, and extracted organ region by method based on the algorithm of GrabCut probabilistic atlas organs. In this paper, we detected 27 cases heart, 116 cases liver, 114 cases the spleen, 120 cases right kidney, 122 cases left kidney, confirmed the effectiveness of the proposed method obtained the matching degree of agreement about 0.8.
Keyword (in Japanese) (See Japanese page) 
(in English) CT Image / GrabCut / Liver / Spleen / Heart / Kidney / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 410, MI2013-61, pp. 31-36, Jan. 2014.
Paper # MI2013-61 
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)
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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) Automatic segmentation of multiple organ regions from 3D CT images using GrabCut and organ detection 
Sub Title (in English)  
Keyword(1) CT Image  
Keyword(2) GrabCut  
Keyword(3) Liver  
Keyword(4) Spleen  
Keyword(5) Heart  
Keyword(6) Kidney  
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Keyword(8)  
1st Author's Name Takaaki Ito  
1st Author's Affiliation Gifu University (Gifu Univ.)
2nd Author's Name Xiangrong Zhou  
2nd Author's Affiliation Gifu University (Gifu Univ.)
3rd Author's Name Takeshi Hara  
3rd Author's Affiliation Gifu University (Gifu Univ.)
4th Author's Name Huiyan Jiang  
4th Author's Affiliation Northeastern University (Northeastern Univ.)
5th Author's Name Ryujiro Yokoyama  
5th Author's Affiliation Gifu University (Gifu Univ.)
6th Author's Name Huayue Chen  
6th Author's Affiliation Gifu University (Gifu Univ.)
7th Author's Name Masayuki Kanematsu  
7th Author's Affiliation Gifu University Hospital (Gifu Univ Hospital)
8th Author's Name Hiroaki Hoshi  
8th Author's Affiliation Gifu University (Gifu Univ.)
9th Author's Name Hiroshi Fujita  
9th Author's Affiliation Gifu University (Gifu Univ.)
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Speaker
Date Time 2014-01-26 13:30:00 
Presentation Time 45 
Registration for MI 
Paper # IEICE-MI2013-61 
Volume (vol) IEICE-113 
Number (no) no.410 
Page pp.31-36 
#Pages IEICE-6 
Date of Issue IEICE-MI-2014-01-19 


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