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Paper Abstract and Keywords
Presentation 2010-01-29 09:40
The effect of training with simple pointed lesion dataset on classification accuracy -- Preliminary study for development of CAD software with incremental learning function on clinical application --
Mitsutaka Nemoto, Yukihiro Nomura (Univ. Tokyo Hospital), Yoshitaka Masutani (Univ. Tokyo Hospital/Univ. Tokyo), Shouhei Hanaoka (Univ. Tokyo), Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka (Univ. Tokyo Hospital), Kuni Ohtomo (Univ. Tokyo Hospital/Univ. Tokyo) MI2009-121
Abstract (in Japanese) (See Japanese page) 
(in English) CAD (Computer Assisted Detection) software in clinical use needs a robustness for image feature variations caused by differentiating imaging parameters or conditions. Therefore, adding an incremental learning function for CAD software is an important step in developing it. Data for incremental learning should include true positives, false positives, and false negatives that would be a time consuming inputting for radiologists. Therefore incremental learning should be processed by using a simple pointed lesion dataset such as gravity center of lesion. In this study, we investigate how incremental learning that uses a simple pointed lesion dataset affects voxel differentiation, by using software for detecting cerebral aneurysms in clinical MR angiography.
Keyword (in Japanese) (See Japanese page) 
(in English) CAD software / classifier / incremantal learning / simple pointed lesion dataset / head MR angiography / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 407, MI2009-121, pp. 247-252, Jan. 2010.
Paper # MI2009-121 
Date of Issue 2010-01-21 (MI) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 2010-01-28 - 2010-01-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Naha-Bunka-Tenbusu 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Imaging 
Paper Information
Registration To MI 
Conference Code 2010-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) The effect of training with simple pointed lesion dataset on classification accuracy 
Sub Title (in English) Preliminary study for development of CAD software with incremental learning function on clinical application 
Keyword(1) CAD software  
Keyword(2) classifier  
Keyword(3) incremantal learning  
Keyword(4) simple pointed lesion dataset  
Keyword(5) head MR angiography  
Keyword(6)  
Keyword(7)  
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1st Author's Name Mitsutaka Nemoto  
1st Author's Affiliation The Unibersity of Tokyo Hospital (Univ. Tokyo Hospital)
2nd Author's Name Yukihiro Nomura  
2nd Author's Affiliation The Unibersity of Tokyo Hospital (Univ. Tokyo Hospital)
3rd Author's Name Yoshitaka Masutani  
3rd Author's Affiliation The Unibersity of Tokyo Hospital/The Unibersity of Tokyo (Univ. Tokyo Hospital/Univ. Tokyo)
4th Author's Name Shouhei Hanaoka  
4th Author's Affiliation The Unibersity of Tokyo (Univ. Tokyo)
5th Author's Name Takeharu Yoshikawa  
5th Author's Affiliation The Unibersity of Tokyo Hospital (Univ. Tokyo Hospital)
6th Author's Name Naoto Hayashi  
6th Author's Affiliation The Unibersity of Tokyo Hospital (Univ. Tokyo Hospital)
7th Author's Name Naoki Yoshioka  
7th Author's Affiliation The Unibersity of Tokyo Hospital (Univ. Tokyo Hospital)
8th Author's Name Kuni Ohtomo  
8th Author's Affiliation The Unibersity of Tokyo Hospital/The Unibersity of Tokyo (Univ. Tokyo Hospital/Univ. Tokyo)
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Speaker Author-1 
Date Time 2010-01-29 09:40:00 
Presentation Time 10 minutes 
Registration for MI 
Paper # MI2009-121 
Volume (vol) vol.109 
Number (no) no.407 
Page pp.247-252 
#Pages 6 
Date of Issue 2010-01-21 (MI) 

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