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Paper Abstract and Keywords
Presentation 2014-01-26 13:30
Multi-organ localizations on a large number of CT images by using machine learning and its performance evaluations
Shoichi Morita, Xiangrong Zhou, Huayue Chen, Takeshi Hara (Gifu Univ.), Huiyan Jiang (NEU), Ryujiro Yokoyama (Gifu Univ.), Masayuki Kanematsu (Gifu Univ. Hospital), Hiroaki Hoshi, Hiroshi Fujita (Gifu Univ.) MI2013-62
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, we propose an approach to accomplish general localization of the different inner organ regions on 3D CT scans using object detections by pattern matching and the majority voting technique. In the experiment, we localized 11 organs from CT image databases scanned difference condition. Moreover we showed the performance evaluation of automatic localization by quantitative evaluation and visual assessment. The average of TP of all organs was 0.95. Furthermore, the detection performance was increased by adding interpolation of resolution and rotation at images.
Keyword (in Japanese) (See Japanese page) 
(in English) CT images / Organ localization / Ensemble learning / Pattern matching / Multi organ / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 410, MI2013-62, pp. 37-41, Jan. 2014.
Paper # MI2013-62 
Date of Issue 2014-01-19 (MI) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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) Multi-organ localizations on a large number of CT images by using machine learning and its performance evaluations 
Sub Title (in English)  
Keyword(1) CT images  
Keyword(2) Organ localization  
Keyword(3) Ensemble learning  
Keyword(4) Pattern matching  
Keyword(5) Multi organ  
1st Author's Name Shoichi Morita  
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 Huayue Chen  
3rd Author's Affiliation Gifu University (Gifu Univ.)
4th Author's Name Takeshi Hara  
4th Author's Affiliation Gifu University (Gifu Univ.)
5th Author's Name Huiyan Jiang  
5th Author's Affiliation Northeastern University (NEU)
6th Author's Name Ryujiro Yokoyama  
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 Author-1 
Date Time 2014-01-26 13:30:00 
Presentation Time 45 minutes 
Registration for MI 
Paper # MI2013-62 
Volume (vol) vol.113 
Number (no) no.410 
Page pp.37-41 
Date of Issue 2014-01-19 (MI) 

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