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Paper Abstract and Keywords
Presentation 2009-05-28 14:00
Improvement of the automated detection for architectural distortion on mammograms
Yuuki Shibata (Gifu Univ.), Tomoko Matsubara (Nagoya Bunri Univ.), Takeshi Hara, Hiroshi Fujita (Gifu Univ.), Tokiko Endo (Nagoya Medical Center), Takuji Iwase (Cancer Institure Hospital) IE2009-21 PRMU2009-12 MI2009-12
Abstract (in Japanese) (See Japanese page) 
(in English) We have been developing an automated detection method for architectural distortion that is difficult to diagnose breast cancer. In our previous method, it was difficult to detect an architectural distortion locating around the breast border. In addition, if the detected area shifted slightly from the gold standard area, our system judged it as the false positive by mistake. Therefore, we suggest to the methods for identify distorted area around breast border from false positive by the variance, and for change the criteria to judge true positive. We also examine the effective of features using the discriminant analysis for eliminating the false positives. Our new method was evaluated by our original database that consisted of 102 abnormal and 73 normal images. As a result, the detection performance of our new methods showed better than that of the previous method.
Keyword (in Japanese) (See Japanese page) 
(in English) Breast cancer / Architectural distortion / Mammogram / Computer-aided diagnosis / / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 65, MI2009-12, pp. 65-68, May 2009.
Paper # MI2009-12 
Date of Issue 2009-05-21 (IE, PRMU, 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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF IE2009-21 PRMU2009-12 MI2009-12

Conference Information
Committee PRMU IE MI  
Conference Date 2009-05-28 - 2009-05-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Gifu Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MI 
Conference Code 2009-05-PRMU-IE-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improvement of the automated detection for architectural distortion on mammograms 
Sub Title (in English)  
Keyword(1) Breast cancer  
Keyword(2) Architectural distortion  
Keyword(3) Mammogram  
Keyword(4) Computer-aided diagnosis  
1st Author's Name Yuuki Shibata  
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 Takeshi Hara  
3rd Author's Affiliation Gifu University (Gifu Univ.)
4th Author's Name Hiroshi Fujita  
4th Author's Affiliation Gifu University (Gifu Univ.)
5th Author's Name Tokiko Endo  
5th Author's Affiliation Nagoya Medical Center (Nagoya Medical Center)
6th Author's Name Takuji Iwase  
6th Author's Affiliation Cancer Institure Hospital (Cancer Institure Hospital)
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Date Time 2009-05-28 14:00:00 
Presentation Time 30 
Registration for MI 
Paper # IEICE-IE2009-21,IEICE-PRMU2009-12,IEICE-MI2009-12 
Volume (vol) IEICE-109 
Number (no) no.63(IE), no.64(PRMU), no.65(MI) 
Page pp.65-68 
#Pages IEICE-4 
Date of Issue IEICE-IE-2009-05-21,IEICE-PRMU-2009-05-21,IEICE-MI-2009-05-21 

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