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Paper Abstract and Keywords
Presentation 2008-07-16 11:00
Developments of category recognition system and comprehensive visualization in mammogram
Ryo Yoneyama, Takeshi Hara (Gifu Univ.), Tomoko Matsubara (Nagoya Bunri Univ.), Norimitsu Shinohara (GUMS), Takako Morita (Chunichi Hosp.), Tae Niwa (Nagoya Univ.), Tokiko Endo (Nagoya Medical Center), Hiroshi Fujita (Gifu Univ.) MI2008-19
Abstract (in Japanese) (See Japanese page) 
(in English) Mammography is best role for the early detection of breast cancer. Because of this, it has been introduced in mass screening. Therefore it is expected to develop a computer-aided diagnosis (CAD) system to support radiologists. Some studies for classification scheme of breast masses and microcalcifications have been reported. However, it was not always easy to recognize the output of CAD because it was a method to show only a detection result. Therefore, we have been developing a scheme that classify the categories of the lesion department and propose the reasons of the classification result. As a result of classification of our method by using our database and Digital Database for Screening Mammography : DDSM, the classification rate was 75.6% and 76.1%. Moreover, we studied on comprehensive visualization of CAD output.
Keyword (in Japanese) (See Japanese page) 
(in English) Computer-Aided Diagnosis / Mammogram / Breast Cancer / Mass / Calcification / Category / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 131, MI2008-19, pp. 1-4, July 2008.
Paper # MI2008-19 
Date of Issue 2008-07-09 (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 2008-07-16 - 2008-07-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Sapporo Medical University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Image Processing 
Paper Information
Registration To MI 
Conference Code 2008-07-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Developments of category recognition system and comprehensive visualization in mammogram 
Sub Title (in English)  
Keyword(1) Computer-Aided Diagnosis  
Keyword(2) Mammogram  
Keyword(3) Breast Cancer  
Keyword(4) Mass  
Keyword(5) Calcification  
Keyword(6) Category  
Keyword(7)  
Keyword(8)  
1st Author's Name Ryo Yoneyama  
1st Author's Affiliation Gifu University (Gifu Univ.)
2nd Author's Name Takeshi Hara  
2nd Author's Affiliation Gifu University (Gifu Univ.)
3rd Author's Name Tomoko Matsubara  
3rd Author's Affiliation Nagoya Bunri University (Nagoya Bunri Univ.)
4th Author's Name Norimitsu Shinohara  
4th Author's Affiliation Gifu University of Medical Science (GUMS)
5th Author's Name Takako Morita  
5th Author's Affiliation Chunichi Hospital (Chunichi Hosp.)
6th Author's Name Tae Niwa  
6th Author's Affiliation Nagoya University (Nagoya Univ.)
7th Author's Name Tokiko Endo  
7th Author's Affiliation Nagoya Medical Center (Nagoya Medical Center)
8th Author's Name Hiroshi Fujita  
8th Author's Affiliation Gifu University (Gifu Univ.)
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Speaker Author-1 
Date Time 2008-07-16 11:00:00 
Presentation Time 30 minutes 
Registration for MI 
Paper # MI2008-19 
Volume (vol) vol.108 
Number (no) no.131 
Page pp.1-4 
#Pages 4 
Date of Issue 2008-07-09 (MI) 

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