Paper Abstract and Keywords |
Presentation |
2014-01-26 14:25
[Special Talk]
Development of similar case retrieval technology for supporting medical image diagnosis and education of various lung diseases Kazuki Kozuka, Kazutoyo Takata, Kenji Kondo, Masaki Kiyono (Panasonic), Masato Tanaka, Toyohiko Sakai, Hirohiko Kimura (Univ. of Fukui) MI2013-81 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper, we propose a new CBIR(Content-based Image Retrieval) system that can retrieve similar cases include “diffusive lung diseases” as well as pulmonary nodules. Because there are many types of lung diseases, CBIR systems require many kinds of image features. However, in a system using image features only, the queries cannot reflect the grounds of doctors’ decisions. Such systems cannot retrieve similar images that the doctor really wants to consult. Therefore, we also propose a new retrieval method that can reflect doctors’ attention by analyzing finding expressions. This method extracts radiological knowledge from database of clinical cases beforehand. When a doctor searches similar cases, the system dynamically changes weights for image features by using findings specified by a doctor. The proposed method was evaluated in experiments with 1026 cases of lung diseases, and the experimental results showed that proposed method improved the accuracy of image retrieval compared with the conventional method. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Content-based image-retrieval system / Chest computed tomography / Case database / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 113, no. 410, MI2013-81, pp. 139-142, Jan. 2014. |
Paper # |
MI2013-81 |
Date of Issue |
2014-01-19 (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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MI2013-81 |
Conference Information |
Committee |
MI |
Conference Date |
2014-01-26 - 2014-01-27 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Bunka Tenbusu Kan |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Computer Assisted Diagnosis and Therapy Based on Computational Anatomy, etc. |
Paper Information |
Registration To |
MI |
Conference Code |
2014-01-MI |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Development of similar case retrieval technology for supporting medical image diagnosis and education of various lung diseases |
Sub Title (in English) |
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Keyword(1) |
Content-based image-retrieval system |
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Chest computed tomography |
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Case database |
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1st Author's Name |
Kazuki Kozuka |
1st Author's Affiliation |
Panasonic Corporation (Panasonic) |
2nd Author's Name |
Kazutoyo Takata |
2nd Author's Affiliation |
Panasonic Corporation (Panasonic) |
3rd Author's Name |
Kenji Kondo |
3rd Author's Affiliation |
Panasonic Corporation (Panasonic) |
4th Author's Name |
Masaki Kiyono |
4th Author's Affiliation |
Panasonic Corporation (Panasonic) |
5th Author's Name |
Masato Tanaka |
5th Author's Affiliation |
University of Fukui (Univ. of Fukui) |
6th Author's Name |
Toyohiko Sakai |
6th Author's Affiliation |
University of Fukui (Univ. of Fukui) |
7th Author's Name |
Hirohiko Kimura |
7th Author's Affiliation |
University of Fukui (Univ. of Fukui) |
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Speaker |
Author-1 |
Date Time |
2014-01-26 14:25:00 |
Presentation Time |
40 minutes |
Registration for |
MI |
Paper # |
MI2013-81 |
Volume (vol) |
vol.113 |
Number (no) |
no.410 |
Page |
pp.139-142 |
#Pages |
4 |
Date of Issue |
2014-01-19 (MI) |
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