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Paper Abstract and Keywords
Presentation 2018-07-24 10:15
Classification of Corneal Shape Images by Machine Learning
Yuji Ayatsuka (CRESCO), Kazutaka Kamiya (Kitasato Univ.), Yudai Kato, Yusuke Kudo (CRESCO), Fusako Fujimura, Nobuyuki Shoji (Kitasato Univ.), Yosai Mori, Kazunori Miyata (Miyata Eye Hospital) MI2018-22
Abstract (in Japanese) (See Japanese page) 
(in English) Keratoconus is one of an ophthalmic disease on a cornea, which brings thinning and deformation in the center of cornea and causes high myopia or astigmatism. Anterior segment optical coherence tomography (Anterior Segment OCT) is used to diagnose keratoconus including its stage. We applied machine learning to analyze images by anterior segment OCT. A resulted trained model, based on convolutional neural network, classified eyes of normal and grade 1 to 4 in Amsler-Krumeich classification with 85.3% accuracy. It also classified normal eyes and keratoconus eyes with 99.6% accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) keratoconus / Amsler-Krumeich classification / machine learning / anterior segment optical coherence tomography / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 150, MI2018-22, pp. 5-8, July 2018.
Paper # MI2018-22 
Date of Issue 2018-07-17 (MI) 
ISSN 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 MI2018-22

Conference Information
Committee MI  
Conference Date 2018-07-24 - 2018-07-24 
Place (in Japanese) (See Japanese page) 
Place (in English) aiina (Morioka, Iwate) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Imaging, etc. 
Paper Information
Registration To MI 
Conference Code 2018-07-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Classification of Corneal Shape Images by Machine Learning 
Sub Title (in English)  
Keyword(1) keratoconus  
Keyword(2) Amsler-Krumeich classification  
Keyword(3) machine learning  
Keyword(4) anterior segment optical coherence tomography  
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1st Author's Name Yuji Ayatsuka  
1st Author's Affiliation CRESCO LTD. (CRESCO)
2nd Author's Name Kazutaka Kamiya  
2nd Author's Affiliation Kitasato University (Kitasato Univ.)
3rd Author's Name Yudai Kato  
3rd Author's Affiliation CRESCO LTD. (CRESCO)
4th Author's Name Yusuke Kudo  
4th Author's Affiliation CRESCO LTD. (CRESCO)
5th Author's Name Fusako Fujimura  
5th Author's Affiliation Kitasato University (Kitasato Univ.)
6th Author's Name Nobuyuki Shoji  
6th Author's Affiliation Kitasato University (Kitasato Univ.)
7th Author's Name Yosai Mori  
7th Author's Affiliation Miyata Eye Hospital (Miyata Eye Hospital)
8th Author's Name Kazunori Miyata  
8th Author's Affiliation Miyata Eye Hospital (Miyata Eye Hospital)
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Speaker Author-1 
Date Time 2018-07-24 10:15:00 
Presentation Time 20 minutes 
Registration for MI 
Paper # MI2018-22 
Volume (vol) vol.118 
Number (no) no.150 
Page pp.5-8 
#Pages 4 
Date of Issue 2018-07-17 (MI) 

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