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Paper Abstract and Keywords
Presentation 2013-01-24 13:10
Improvement of automated method for detecting architectural distortion using assessment of fibroglandular breast tissue density on mammograms
Nami Yamada (Gifu Univ.), Tomoko Matsubara (Nagoya Bunri Univ.), Akinori Tsunomori (Konica Minolta MG), Takeshi Hara, Chisako Muramatsu (Gifu Univ.), Tokiko Endo (Nagoya Medical Center), Hiroshi Fujita (Gifu Univ.) MI2012-79
Abstract (in Japanese) (See Japanese page) 
(in English) Architectural distortion is one of very important findings in interpreting breast cancer on mammograms. Therefore we have been trying to improve the performance of our automated method for detecting spiculated architectural distortion on mammography CADe. The performance of our system is high, but the system still has a lot of FPs. Our resent research is to reduce FPs. Mammograms are different greatly in individual, but we have been approaching all of the mammograms with same method. Our purpose of this research is to divide to four classes depending on quantity of mammary gland and fat on mammogram before the detection method.
Keyword (in Japanese) (See Japanese page) 
(in English) Mammogram / CADe (computer-aided detection) / distortion / Mammary gland / Fat on mammogram / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 411, MI2012-79, pp. 89-94, Jan. 2013.
Paper # MI2012-79 
Date of Issue 2013-01-17 (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 2013-01-24 - 2013-01-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Bunka Tenbusu Kan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Computational anatomy and its application to computer assisted diagnosis and therapy, etc 
Paper Information
Registration To MI 
Conference Code 2013-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improvement of automated method for detecting architectural distortion using assessment of fibroglandular breast tissue density on mammograms 
Sub Title (in English)  
Keyword(1) Mammogram  
Keyword(2) CADe (computer-aided detection)  
Keyword(3) distortion  
Keyword(4) Mammary gland  
Keyword(5) Fat on mammogram  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Nami Yamada  
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 Akinori Tsunomori  
3rd Author's Affiliation Konica Minolta Medical & Graphic, Inc (Konica Minolta MG)
4th Author's Name Takeshi Hara  
4th Author's Affiliation Gifu University (Gifu Univ.)
5th Author's Name Chisako Muramatsu  
5th Author's Affiliation Gifu University (Gifu Univ.)
6th Author's Name Tokiko Endo  
6th Author's Affiliation National Hospital Organization Nagoya Medical Center (Nagoya Medical Center)
7th Author's Name Hiroshi Fujita  
7th Author's Affiliation Gifu University (Gifu Univ.)
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Speaker Author-1 
Date Time 2013-01-24 13:10:00 
Presentation Time 20 minutes 
Registration for MI 
Paper # MI2012-79 
Volume (vol) vol.112 
Number (no) no.411 
Page pp.89-94 
#Pages 6 
Date of Issue 2013-01-17 (MI) 

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