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Paper Abstract and Keywords
Presentation 2020-09-03 14:55
Performance Improvement of Alzheimer's Disease Classification Using Convolutional Neural Network
Daiki Endo, Koichi Ito, Takafumi Aoki (Tohoku Univ.) MI2020-31
Abstract (in Japanese) (See Japanese page) 
(in English) Alzheimer's disease (AD) is a progressive brain disease that causes a different pattern of brain atrophy from normal aging.
Early identification of AD is crucial since the progression of the disease can be slowed down by medication.
In the field of image recognition, their accuracy have been significantly improved by using convolutional neural networks (CNNs).
Similarly, in the field of medical image processing, researches on the diagnostic support using CNN have been studied.
On the other hand, the number of medical images provided for CNN training is extremely small, which may cause over-fitting in training.
In this paper, we propose an AD identification method using pre-training with an autoencoder to suppress over-fitting.
Through experiments using a large-scale database, we demonstrate the effectiveness of our proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) computer aided diagnosis / brain MRI image / Alzheimer's disease / convolutional neural network / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 156, MI2020-31, pp. 63-67, Sept. 2020.
Paper # MI2020-31 
Date of Issue 2020-08-27 (MI) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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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Conference Information
Committee MI  
Conference Date 2020-09-03 - 2020-09-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Image Analysis 
Paper Information
Registration To MI 
Conference Code 2020-09-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Performance Improvement of Alzheimer's Disease Classification Using Convolutional Neural Network 
Sub Title (in English)  
Keyword(1) computer aided diagnosis  
Keyword(2) brain MRI image  
Keyword(3) Alzheimer's disease  
Keyword(4) convolutional neural network  
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1st Author's Name Daiki Endo  
1st Author's Affiliation Tohoku University (Tohoku Univ.)
2nd Author's Name Koichi Ito  
2nd Author's Affiliation Tohoku University (Tohoku Univ.)
3rd Author's Name Takafumi Aoki  
3rd Author's Affiliation Tohoku University (Tohoku Univ.)
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Speaker Author-1 
Date Time 2020-09-03 14:55:00 
Presentation Time 15 minutes 
Registration for MI 
Paper # MI2020-31 
Volume (vol) vol.120 
Number (no) no.156 
Page pp.63-67 
#Pages
Date of Issue 2020-08-27 (MI) 


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