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Paper Abstract and Keywords
Presentation 2015-03-02 11:30
Information fusion for computer-aided diagnosis of liver fibrosis -- Integration of shape information into conventional blood test based diagnosis --
Yuto Masaki, Futoshi Yokota, Yoshito Otake (NAIST), Masatoshi Hori (Osaka Univ.), Toshiyuki Okada (Tsukuba Univ.), Noriyuki Tomiyama, Yoshinobu Sato (NAIST) MI2014-64
Abstract (in Japanese) (See Japanese page) 
(in English) Liver biopsy currently used for a definitive diagnosis of liver fibrosis is invasive and causes inconvenience to the patient, thus non-invasive techniques are preferable. Previous works reported classification and estimation method to diagnose liver fibrosis using information of blood test only and the liver shape only acquired from CT image, respectively. The purpose of this study was to improve classification accuracy by integrating the information of shape and blood test. In this study, we built support vector machine from integrating information of shape and blood test. We performed the classification of liver fibrosis presence and evaluated area under the curve (AUC). We conducted one hundred times 3-fold cross-validation, and founded that the average AUC is shown to be 0.990±0.007. The integration of the both information further improved the AUC significantly (p<0.01).
Keyword (in Japanese) (See Japanese page) 
(in English) information fusion / statistical shape model / support vector machine / liver fibrosis / blood test / computer-aided diagnosis / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 482, MI2014-64, pp. 59-62, March 2015.
Paper # MI2014-64 
Date of Issue 2015-02-23 (MI) 
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 MI  
Conference Date 2015-03-02 - 2015-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Hotel Miyahira 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Creation of multidisciplinary computational anatomy, Forefront of medical image engineering, General topics in medical imaging 
Paper Information
Registration To MI 
Conference Code 2015-03-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Information fusion for computer-aided diagnosis of liver fibrosis 
Sub Title (in English) Integration of shape information into conventional blood test based diagnosis 
Keyword(1) information fusion  
Keyword(2) statistical shape model  
Keyword(3) support vector machine  
Keyword(4) liver fibrosis  
Keyword(5) blood test  
Keyword(6) computer-aided diagnosis  
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Keyword(8)  
1st Author's Name Yuto Masaki  
1st Author's Affiliation Nara Institute of Science and Technology (NAIST)
2nd Author's Name Futoshi Yokota  
2nd Author's Affiliation Nara Institute of Science and Technology (NAIST)
3rd Author's Name Yoshito Otake  
3rd Author's Affiliation Nara Institute of Science and Technology (NAIST)
4th Author's Name Masatoshi Hori  
4th Author's Affiliation Osaka University (Osaka Univ.)
5th Author's Name Toshiyuki Okada  
5th Author's Affiliation University of Tsukuba (Tsukuba Univ.)
6th Author's Name Noriyuki Tomiyama  
6th Author's Affiliation Nara Institute of Science and Technology (NAIST)
7th Author's Name Yoshinobu Sato  
7th Author's Affiliation Nara Institute of Science and Technology (NAIST)
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Speaker Author-1 
Date Time 2015-03-02 11:30:00 
Presentation Time 12 minutes 
Registration for MI 
Paper # MI2014-64 
Volume (vol) vol.114 
Number (no) no.482 
Page pp.59-62 
#Pages
Date of Issue 2015-02-23 (MI) 


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