Information: Join today and make your research activities more affordable! Technical workshop participation fees and annual registration fees are available at member rates.
Notice: [Important] Announcement of Changes to Registration Fee Payment and Manuscript Upload Procedures for IEICE Technical Meetings
IEICE Technical Committee Submission System
Conference Paper's Information		 Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
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
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

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.)
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
21st Author's Name  
21st Author's Affiliation ()
22nd Author's Name  
22nd Author's Affiliation ()
23rd Author's Name  
23rd Author's Affiliation ()
24th Author's Name  
24th Author's Affiliation ()
25th Author's Name  
25th Author's Affiliation ()
26th Author's Name / /
26th Author's Affiliation ()
()
27th Author's Name / /
27th Author's Affiliation ()
()
28th Author's Name / /
28th Author's Affiliation ()
()
29th Author's Name / /
29th Author's Affiliation ()
()
30th Author's Name / /
30th Author's Affiliation ()
()
31st Author's Name / /
31st Author's Affiliation ()
()
32nd Author's Name / /
32nd Author's Affiliation ()
()
33rd Author's Name / /
33rd Author's Affiliation ()
()
34th Author's Name / /
34th Author's Affiliation ()
()
35th Author's Name / /
35th Author's Affiliation ()
()
36th Author's Name / /
36th Author's Affiliation ()
()
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) 

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan