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Paper Abstract and Keywords
Presentation 2009-11-11 10:05
Classifier Performance Study Using Simulation Data
Shunsuke Horie (Gifu Univ.), Tomoko Matsubara (Nagoya Bunri Univ.), Satoshi Kasai (Konica Minolta Medical Imaging USA, INC.), Yoshikazu Uchiyama, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2009-64
Abstract (in Japanese) (See Japanese page) 
(in English) Various classifiers are used on the elimination of false positives or diagnosis of benign and malignant lesion. However, no classifier shows consistently superior performance regardless of the nature of the data. Therefore, choosing the type of classifier should be done experimentally. In this paper, we generated simulation data based on normal distributions; and then conducted a computer simulation study to compare classification performance of five classifiers, Linear Discriminant Analysis, Quadratic Discriminant Analysis, Neural Network, Support Vector Machine, and AdaBoost. As a result, Our results clearly show the effects of class distribution, number of features, and sample size on classifier performance.
Keyword (in Japanese) (See Japanese page) 
(in English) Classifier / Simulation Data / AUC / Computer-aided diagnosis (CAD) / / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 270, MI2009-64, pp. 1-6, Nov. 2009.
Paper # MI2009-64 
Date of Issue 2009-11-04 (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 2009-11-11 - 2009-11-11 
Place (in Japanese) (See Japanese page) 
Place (in English) Osaka Univ. Icho Kaikan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General medical imaging 
Paper Information
Registration To MI 
Conference Code 2009-11-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Classifier Performance Study Using Simulation Data 
Sub Title (in English)  
Keyword(1) Classifier  
Keyword(2) Simulation Data  
Keyword(3) AUC  
Keyword(4) Computer-aided diagnosis (CAD)  
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1st Author's Name Shunsuke Horie  
1st Author's Affiliation Gifu University (Gifu Univ.)
2nd Author's Name Tomoko Matsubara  
2nd Author's Affiliation Nagoya Bunri University (Nagoya Bunri Univ.)
3rd Author's Name Satoshi Kasai  
3rd Author's Affiliation Konica Minolta Medical Imaging USA, INC. (Konica Minolta Medical Imaging USA, INC.)
4th Author's Name Yoshikazu Uchiyama  
4th Author's Affiliation Gifu University (Gifu Univ.)
5th Author's Name Takeshi Hara  
5th Author's Affiliation Gifu University (Gifu Univ.)
6th Author's Name Hiroshi Fujita  
6th Author's Affiliation Gifu University (Gifu Univ.)
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Speaker Author-1 
Date Time 2009-11-11 10:05:00 
Presentation Time 25 minutes 
Registration for MI 
Paper # MI2009-64 
Volume (vol) vol.109 
Number (no) no.270 
Page pp.1-6 
#Pages 6 
Date of Issue 2009-11-04 (MI) 

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