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Paper Abstract and Keywords
Presentation 2018-07-24 14:15
Polyp Classification Using CNN Features from Three Kinds of Endoscope Images
Yuji Iwahori, Yuji Iwahori, Hiroyasu Usami (Chubu Univ.), Naotaka Ogasawara, Kunio Kasugai (Aichi Med. Univ.) MI2018-27
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes a polyp classification approach using three kinds of endoscope images. Transfer learning is applied from CNN which extracts features and SVM is used to classify the benign or malignant. Seven
kinds of CNNs and SVMs are used for the classification using the features extracted from the corresponding CNN according to the combination of three kinds of images. Voting processing is applied to judge the final classification result from each SVM classifier. It is confirmed that proposed approach has an advantage for the classification accuracy of polyp in comparison with the combination of endoscope images and its voting processing.
Keyword (in Japanese) (See Japanese page) 
(in English) Polyp Classification / Endoscope Image / Voting Processing / CNN / SVM / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 150, MI2018-27, pp. 25-32, July 2018.
Paper # MI2018-27 
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 MI2018-27

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) Polyp Classification Using CNN Features from Three Kinds of Endoscope Images 
Sub Title (in English)  
Keyword(1) Polyp Classification  
Keyword(2) Endoscope Image  
Keyword(3) Voting Processing  
Keyword(4) CNN  
Keyword(5) SVM  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Yuji Iwahori  
1st Author's Affiliation Chubu University (Chubu Univ.)
2nd Author's Name Yuji Iwahori  
2nd Author's Affiliation Chubu University (Chubu Univ.)
3rd Author's Name Hiroyasu Usami  
3rd Author's Affiliation Chubu University (Chubu Univ.)
4th Author's Name Naotaka Ogasawara  
4th Author's Affiliation Aichi Medical University (Aichi Med. Univ.)
5th Author's Name Kunio Kasugai  
5th Author's Affiliation Aichi Medical University (Aichi Med. Univ.)
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Speaker Author-2 
Date Time 2018-07-24 14:15:00 
Presentation Time 20 minutes 
Registration for MI 
Paper # MI2018-27 
Volume (vol) vol.118 
Number (no) no.150 
Page pp.25-32 
#Pages 8 
Date of Issue 2018-07-17 (MI) 

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