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Paper Abstract and Keywords
Presentation 2015-03-16 10:55
Feature Analysis for Diffuse Lung Disease with Deep Convolutional Neural Network
Satoshi Suzuki, Hayaru Shouno (UEC), Shoji Kido (Yamaguchi Univ.) MBE2014-163 NC2014-114
Abstract (in Japanese) (See Japanese page) 
(in English) The computer aided diagnosis (CAD) system is desired to develop for supporing physicians to diagnose the diffuse lung diseeases (DLD).In order to devlop the system, we a DLD feature analysis method with deep convolutional neural network (DCNN) for the classification of DLDs.DCNN is a kind of multi layer neural network which can automatically extract features express the input data, however,it requires larage amount of training data.In the field of medical image analysis, the number of acquired data sometimes too few to train the learning system.Thus, we introduce a kind of semi-supervised learning (SSL) method to train the DCNN, that iswe apply natural image, which we can easily collect in massive, for the unlabeled data, and the small number of the DLD image as the labeled data.We compare DCNNs with training of i) DLD CT images only, ii) natural images only, and iii) DLC CT images + natural images, and show the result of case iii) would be better DCNN feature rather than those of others.
Keyword (in Japanese) (See Japanese page) 
(in English) Deep Convolutional Neural Network / Semi-supervised Learning / Diffuse Lung Disease image analysis / / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 515, NC2014-114, pp. 259-264, March 2015.
Paper # NC2014-114 
Date of Issue 2015-03-09 (MBE, NC) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 MBE2014-163 NC2014-114

Conference Information
Committee NC MBE  
Conference Date 2015-03-16 - 2015-03-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Tamagawa University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) ME, etc 
Paper Information
Registration To NC 
Conference Code 2015-03-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Feature Analysis for Diffuse Lung Disease with Deep Convolutional Neural Network 
Sub Title (in English)  
Keyword(1) Deep Convolutional Neural Network  
Keyword(2) Semi-supervised Learning  
Keyword(3) Diffuse Lung Disease image analysis  
1st Author's Name Satoshi Suzuki  
1st Author's Affiliation University of Electro-Communications (UEC)
2nd Author's Name Hayaru Shouno  
2nd Author's Affiliation University of Electro-Communications (UEC)
3rd Author's Name Shoji Kido  
3rd Author's Affiliation Yamaguchi University (Yamaguchi Univ.)
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Speaker Author-1 
Date Time 2015-03-16 10:55:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # MBE2014-163, NC2014-114 
Volume (vol) vol.114 
Number (no) no.514(MBE), no.515(NC) 
Page pp.259-264 
Date of Issue 2015-03-09 (MBE, NC) 

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