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Paper Abstract and Keywords
Presentation 2008-01-26 13:00
Automated detection for architectural distortion based on analysis of line structure in breast area on mammograms
Takanari Makita (Gifu Univ.), Tomoko Matsubara (Nagoya Bunri Univ.), Takeshi Hara, Hiroshi Fujita (Gifu Univ.), Tokiko Endo (Nagoya Medical Center), Takuji Iwase (Cancer Institute Hospital) MI2007-139
Abstract (in Japanese) (See Japanese page) 
(in English) We have developed 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 with very thin mammary glands. We suggest to the method of combination of two resolution images in order to extract various width mammary glands. Our new method was evaluated by using 280 mammograms from Digital Database for Screening Mammography (DDSM) released by University of South Florida. As a result, the detection performance of our new method 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. 107, no. 461, MI2007-139, pp. 415-418, Jan. 2008.
Paper # MI2007-139 
Date of Issue 2008-01-18 (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)
Download PDF MI2007-139

Conference Information
Committee MI  
Conference Date 2008-01-25 - 2008-01-26 
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 2008-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automated detection for architectural distortion based on analysis of line structure in breast area on mammograms 
Sub Title (in English)  
Keyword(1) Breast cancer  
Keyword(2) Architectural distortion  
Keyword(3) Mammogram  
Keyword(4) Computer-aided diagnosis  
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1st Author's Name Takanari Makita  
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 Institute Hospital (Cancer Institute Hospital)
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Speaker Author-1 
Date Time 2008-01-26 13:00:00 
Presentation Time 60 minutes 
Registration for MI 
Paper # MI2007-139 
Volume (vol) vol.107 
Number (no) no.461 
Page pp.415-418 
#Pages 4 
Date of Issue 2008-01-18 (MI) 

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