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| Presentation | 2016-01-20 13:05 Development of automated detection method for architectural distortion based on the medical knowledge on mammograms Akihiro Ito (Gifu Univ.), Tomoko Matsubara (Nagoya bunri Univ.), Tsunomori Akinori (KONICA MINOLTA), Takeshi Hara, Muramatsu chisako (Gifu Univ.), Tokiko Endo (Higashi Nagoya Hospital), Fujita Hiroshi (Gifu Univ.)  MI2015-120 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Architectural distortion is one of very important findings in interpreting breast cancer on mammograms. However, one of the commonly missed signs of breast cancer is architectural distortion, and sensitivity of computer aided detection (CAD) systems for this finding is low. Therefore, we have been developing the CAD system that focuses on architectural distortion. Our system shows high sensitivity, but it is necessary to reduce the number of false positives (FPs) for practical use. In this study, to eliminate FPs we propose an effective new feature defined by both the distribution of linear structure and the central density based on the medical knowledge that physicians take into consideration in interpretation. This new feature is applied to 12,828 candidate regions including 221 true-positive (TP) regions that were detected at the initial pick-up stage of our CAD system. As a result, it is possible to eliminate more than 70% of FP regions keeping 70% of TP regions. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Mammogram / CADe(computer-aided detection) / Architectural distortion / Medical knowledge / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 115, no. 401, MI2015-120, pp. 229-232, Jan. 2016. | |
| Paper # | MI2015-120 | |
| Date of Issue | 2016-01-12 (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 | MI2015-120 |
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| Conference Information | |
| Committee | MI |
| Conference Date | 2016-01-19 - 2016-01-20 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Bunka Tenbusu Kan |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General topics in medical imaging |
| Paper Information | |
| Registration To | MI |
| Conference Code | 2016-01-MI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Development of automated detection method for architectural distortion based on the medical knowledge on mammograms |
| Sub Title (in English) | |
| Keyword(1) | Mammogram |
| Keyword(2) | CADe(computer-aided detection) |
| Keyword(3) | Architectural distortion |
| Keyword(4) | Medical knowledge |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Akihiro Ito |
| 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 | Tsunomori Akinori |
| 3rd Author's Affiliation | KONICA MINOLTA, INC. (KONICA MINOLTA) |
| 4th Author's Name | Takeshi Hara |
| 4th Author's Affiliation | Gifu University (Gifu Univ.) |
| 5th Author's Name | Muramatsu chisako |
| 5th Author's Affiliation | Gifu University (Gifu Univ.) |
| 6th Author's Name | Tokiko Endo |
| 6th Author's Affiliation | National Hospital Organization Higashi Nagoya National Hospital (Higashi Nagoya Hospital) |
| 7th Author's Name | Fujita Hiroshi |
| 7th Author's Affiliation | Gifu University (Gifu Univ.) |
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| Speaker | Author-1 |
| Date Time | 2016-01-20 13:05:00 |
| Presentation Time | 40 minutes |
| Registration for | MI |
| Paper # | MI2015-120 |
| Volume (vol) | vol.115 |
| Number (no) | no.401 |
| Page | pp.229-232 |
| #Pages | 4 |
| Date of Issue | 2016-01-12 (MI) |
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