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Paper Abstract and Keywords
Presentation 2014-01-27 13:30
Automatic Estimation of Distribution of Cone Cells to Vessel Locations Using Retina Image
Yuanting Ji, Ken'ichi Morooka (Kyushu Univ.), Oscar Martinez Mozos (Univ. of Lincoln), Tokuo Tsuji, Ryo Kurazume (Kyushu Univ.) MI2013-108
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes a method to automatically estimate the distribution patterns of cone cells in a given retina image. As to the spatial relationship between cones and vessels in the retina image, there are three types of the distribution patterns:positive correlation distribution(PCD), negative correlation distribution(NCD), and random distribution(RD). PCD and NCD indicate that the cones tend to be close to or far from the vessels. While the cone cells do not have signi cant correlation with vessels, the cone distribution is regarded as RD. In
our method, a sample image with RD is generated by the vessels extracted from the image, and the virtual cells are selected randomly from the image. Repeating the selection process, many sample images with RDare used to estimate the distribution range of RD. When the distribution of the original cells is above the upper limit or below the lower limit of the RD distribution, the cell distribution is NCD or PCD. Otherwise, the cell distribution is regarded as RD.
Keyword (in Japanese) (See Japanese page) 
(in English) Retina image / Cone cell / Cone distribution / Spatial correlation between cone and vessel / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 410, MI2013-108, pp. 281-284, Jan. 2014.
Paper # MI2013-108 
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)
Download PDF MI2013-108

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) Automatic Estimation of Distribution of Cone Cells to Vessel Locations Using Retina Image 
Sub Title (in English)  
Keyword(1) Retina image  
Keyword(2) Cone cell  
Keyword(3) Cone distribution  
Keyword(4) Spatial correlation between cone and vessel  
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1st Author's Name Yuanting Ji  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Ken'ichi Morooka  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
3rd Author's Name Oscar Martinez Mozos  
3rd Author's Affiliation University of Lincoln (Univ. of Lincoln)
4th Author's Name Tokuo Tsuji  
4th Author's Affiliation Kyushu University (Kyushu Univ.)
5th Author's Name Ryo Kurazume  
5th Author's Affiliation Kyushu University (Kyushu Univ.)
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Speaker Author-1 
Date Time 2014-01-27 13:30:00 
Presentation Time 45 minutes 
Registration for MI 
Paper # MI2013-108 
Volume (vol) vol.113 
Number (no) no.410 
Page pp.281-284 
#Pages 4 
Date of Issue 2014-01-19 (MI) 

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