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 |
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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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) |
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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) |
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Keyword(1) |
Breast cancer |
Keyword(2) |
Architectural distortion |
Keyword(3) |
Mammogram |
Keyword(4) |
Computer-aided diagnosis |
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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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Speaker |
Author-1 |
Date Time |
2009-05-28 14:00:00 |
Presentation Time |
30 minutes |
Registration for |
MI |
Paper # |
IE2009-21, PRMU2009-12, MI2009-12 |
Volume (vol) |
vol.109 |
Number (no) |
no.63(IE), no.64(PRMU), no.65(MI) |
Page |
pp.65-68 |
#Pages |
4 |
Date of Issue |
2009-05-21 (IE, PRMU, MI) |
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