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Paper Abstract and Keywords
Presentation 2016-03-09 13:35
Organs Automatic Segmentation from the Medical Image based on the Spatial Location and the Probability Atlas and Development of Computer Aided Diagnosis System of Liver Cirrhosis
Tomoko Tateyama, Chuhua Dong, Mei Uetani, Yingbo LI (Ritsumeikan Univ), Akira Furukawa (Tokyo Metropolitan Univ), Shuzo Kanasaki (Takeda Hospital), Yen-Wei Chen (Ritsumeikan Univ) MICT2015-53
Abstract (in Japanese) (See Japanese page) 
(in English) Computer anatomical model shows morphological changes of organs such as individual differences and the progress of disease on a computer system. Accurate segmentation of abdominal organs is a most important step in computer-aided diagnosis (CAD) system. The paper describes novel organ segmentation method by combination probabilistic atlas with spacing position of organ information aim to construct accurate computer anatomical model, and a development Computer aided diagnosis GUI system for liver cirrhosis using computer anatomical model. Accurate Computer anatomical model leads to high-quality support for medical service such as CAD and CAS(Computer-aided Surgery). Then, we developed a novel CAD of Liver cirrhosis using our segmentation method. Clinicians estimate the system is effective support for diagnosis of liver cirrhosis.
Keyword (in Japanese) (See Japanese page) 
(in English) Computer Anatomical Model / Organ space location / Automatic organ segmentation / Computer aided diagnosis / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 499, MICT2015-53, pp. 1-6, March 2016.
Paper # MICT2015-53 
Date of Issue 2016-03-02 (MICT) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 MICT  
Conference Date 2016-03-09 - 2016-03-09 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagoya Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Healthcare and Medical Information Communication Technologies, etc 
Paper Information
Registration To MICT 
Conference Code 2016-03-MICT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Organs Automatic Segmentation from the Medical Image based on the Spatial Location and the Probability Atlas and Development of Computer Aided Diagnosis System of Liver Cirrhosis 
Sub Title (in English)  
Keyword(1) Computer Anatomical Model  
Keyword(2) Organ space location  
Keyword(3) Automatic organ segmentation  
Keyword(4) Computer aided diagnosis  
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1st Author's Name Tomoko Tateyama  
1st Author's Affiliation Ritsumeikan University (Ritsumeikan Univ)
2nd Author's Name Chuhua Dong  
2nd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ)
3rd Author's Name Mei Uetani  
3rd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ)
4th Author's Name Yingbo LI  
4th Author's Affiliation Ritsumeikan University (Ritsumeikan Univ)
5th Author's Name Akira Furukawa  
5th Author's Affiliation Tokyo Metropolitan University (Tokyo Metropolitan Univ)
6th Author's Name Shuzo Kanasaki  
6th Author's Affiliation Kyoto Takeda Hospital (Takeda Hospital)
7th Author's Name Yen-Wei Chen  
7th Author's Affiliation Ritsumeikan University (Ritsumeikan Univ)
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Speaker Author-1 
Date Time 2016-03-09 13:35:00 
Presentation Time 25 minutes 
Registration for MICT 
Paper # MICT2015-53 
Volume (vol) vol.115 
Number (no) no.499 
Page pp.1-6 
#Pages
Date of Issue 2016-03-02 (MICT) 


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