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Paper Abstract and Keywords
Presentation 2016-11-14 10:00
Detecting Occular Diseases from an Optical Coherence Tomography Image by Machine Learning
Yuji Ayatsuka (CRESCO), Soichiro Kuwayama, Hideaki Usui, Aki Kato, Yuichiro Ogura, Tsutomu Yasukawa (NCU) MI2016-64
Abstract (in Japanese) (See Japanese page) 
(in English) We applied machine learning technique with Convolutional Neural Network
for Optical Coherence Tomography (OCT) images, to classify
fundus diseases. We had provided 1100 OCT image data with `correct'
classifications (23 classes including `normal') by an expert doctor
for training and 100 for testing, and got a trained model which gives
83 correct diagnoses as the most probable classification and 92 answers
containing the correct diagnoses in top 3 (and more than 10%
probability for the correct answer) for 100 testing data.
Keyword (in Japanese) (See Japanese page) 
(in English) OCT / fundus diseases / machine learning / / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 298, MI2016-64, pp. 11-14, Nov. 2016.
Paper # MI2016-64 
Date of Issue 2016-11-07 (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 MI2016-64

Conference Information
Committee MI  
Conference Date 2016-11-14 - 2016-11-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Tottori Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Applications of Computer Vision Technology, Medical Imaging, etc. 
Paper Information
Registration To MI 
Conference Code 2016-11-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Detecting Occular Diseases from an Optical Coherence Tomography Image by Machine Learning 
Sub Title (in English)  
Keyword(1) OCT  
Keyword(2) fundus diseases  
Keyword(3) machine learning  
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1st Author's Name Yuji Ayatsuka  
1st Author's Affiliation CRESCO LTD. (CRESCO)
2nd Author's Name Soichiro Kuwayama  
2nd Author's Affiliation Nagoya City University (NCU)
3rd Author's Name Hideaki Usui  
3rd Author's Affiliation Nagoya City University (NCU)
4th Author's Name Aki Kato  
4th Author's Affiliation Nagoya City University (NCU)
5th Author's Name Yuichiro Ogura  
5th Author's Affiliation Nagoya City University (NCU)
6th Author's Name Tsutomu Yasukawa  
6th Author's Affiliation Nagoya City University (NCU)
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Speaker Author-1 
Date Time 2016-11-14 10:00:00 
Presentation Time 30 minutes 
Registration for MI 
Paper # MI2016-64 
Volume (vol) vol.116 
Number (no) no.298 
Page pp.11-14 
#Pages 4 
Date of Issue 2016-11-07 (MI) 

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