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Paper Abstract and Keywords
Presentation 2008-01-26 13:00
Recognition method of main-stem vessels for arteriolar narrowing detection on retinal fundus images
Toshifumi Hayashi, Toshiaki Nakagawa (Gifu Univ.), Yuji Hatanaka (Gifu National College of Tech.), Yoshinori Hayashi (TAK), Akira Aoyama (Ogaki Municipal Hospital), Yutaka Mizukusa, Akihiro Fujita (Kowa), Masakatsu Kakogawa (TAK), Takeshi Hara, Hiroshi Fujita, Tetsuya Yamamoto (Gifu Univ.) MI2007-131
Abstract (in Japanese) (See Japanese page) 
(in English) We have been developing a computer-aided diagnosis system for early detection of arteriolar narrowing on retinal fundus images. Our scheme consists of extraction of blood vessel, classification of artery and vain, recognition of main-stem vessel, and detection of arteriolar narrowing by the artery-vain diameter ratio. Recognition of main-stem vessel is important for improving the performance of the detection. Therefore, we propose recognition method of main-stem vessels based on blood-vessel diameter. Eighty images were used to estimate our scheme. As a result, the sensitivity for detection arteriolar narrowing was 81% with 3.3 false-positive vessels per image. Therefore, the technique we proposed in this study may be useful for detection of arteriolar narrowing.
Keyword (in Japanese) (See Japanese page) 
(in English) retinal fundus image / computer-aided diagnosis / arteriolar narrowing / main-stem vessel / / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 461, MI2007-131, pp. 377-382, Jan. 2008.
Paper # MI2007-131 
Date of Issue 2008-01-18 (MI) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 2008-01-25 - 2008-01-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Naha-Bunka-Tenbusu 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Imaging 
Paper Information
Registration To MI 
Conference Code 2008-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Recognition method of main-stem vessels for arteriolar narrowing detection on retinal fundus images 
Sub Title (in English)  
Keyword(1) retinal fundus image  
Keyword(2) computer-aided diagnosis  
Keyword(3) arteriolar narrowing  
Keyword(4) main-stem vessel  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Toshifumi Hayashi  
1st Author's Affiliation Gifu University (Gifu Univ.)
2nd Author's Name Toshiaki Nakagawa  
2nd Author's Affiliation Gifu University (Gifu Univ.)
3rd Author's Name Yuji Hatanaka  
3rd Author's Affiliation Gifu National College of Technology (Gifu National College of Tech.)
4th Author's Name Yoshinori Hayashi  
4th Author's Affiliation TAK Co., Ltd. (TAK)
5th Author's Name Akira Aoyama  
5th Author's Affiliation Ogaki Municipal Hospital (Ogaki Municipal Hospital)
6th Author's Name Yutaka Mizukusa  
6th Author's Affiliation Kowa Company, Ltd. (Kowa)
7th Author's Name Akihiro Fujita  
7th Author's Affiliation Kowa Company, Ltd. (Kowa)
8th Author's Name Masakatsu Kakogawa  
8th Author's Affiliation TAK Co., Ltd. (TAK)
9th Author's Name Takeshi Hara  
9th Author's Affiliation Gifu University (Gifu Univ.)
10th Author's Name Hiroshi Fujita  
10th Author's Affiliation Gifu University (Gifu Univ.)
11th Author's Name Tetsuya Yamamoto  
11th Author's Affiliation Gifu University (Gifu Univ.)
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Speaker Author-1 
Date Time 2008-01-26 13:00:00 
Presentation Time 60 minutes 
Registration for MI 
Paper # MI2007-131 
Volume (vol) vol.107 
Number (no) no.461 
Page pp.377-382 
#Pages
Date of Issue 2008-01-18 (MI) 


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