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Paper Abstract and Keywords
Presentation 2013-02-21 16:10
[Poster Presentation] Evaluation and Expansion of Recognition methods Using Unlabeled Regions by means of Self-training
Daichi Tanabe, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Yoko Kominami, Rie Miyaki, Taiji Matsuo, Shigeto Yoshida, Shinji Tanaka (Hiroshima Univ.) PRMU2012-147
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we report the results of the problems discussed for the case in which the recognition of NBI endoscopic image,using the unlabeled region by means of self-training.
Takeda et al have proposed a method creating a large database using the Self-training in order increase images for learning.
But, this method is no reliable because it uses an image that has not received confirmation of doctor.
So in this study, we consider the conventional method and experiment with a method improving its problem by using a larger data set.
As a result, we show the properties of the conventional method.
Keyword (in Japanese) (See Japanese page) 
(in English) Colorectal Tumor / Unlabeled region / NBI Image / Self-training / Active-learning / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 441, PRMU2012-147, pp. 103-104, Feb. 2013.
Paper # PRMU2012-147 
Date of Issue 2013-02-14 (PRMU) 
ISSN Print edition: ISSN 0913-5685    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 PRMU  
Conference Date 2013-02-21 - 2013-02-22 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2013-02-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Evaluation and Expansion of Recognition methods Using Unlabeled Regions by means of Self-training 
Sub Title (in English)  
Keyword(1) Colorectal Tumor  
Keyword(2) Unlabeled region  
Keyword(3) NBI Image  
Keyword(4) Self-training  
Keyword(5) Active-learning  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Daichi Tanabe  
1st Author's Affiliation Hiroshima University (Hiroshima Univ.)
2nd Author's Name Toru Tamaki  
2nd Author's Affiliation Hiroshima University (Hiroshima Univ.)
3rd Author's Name Bisser Raytchev  
3rd Author's Affiliation Hiroshima University (Hiroshima Univ.)
4th Author's Name Kazufumi Kaneda  
4th Author's Affiliation Hiroshima University (Hiroshima Univ.)
5th Author's Name Tetsushi Koide  
5th Author's Affiliation Hiroshima University (Hiroshima Univ.)
6th Author's Name Yoko Kominami  
6th Author's Affiliation Hiroshima University (Hiroshima Univ.)
7th Author's Name Rie Miyaki  
7th Author's Affiliation Hiroshima University (Hiroshima Univ.)
8th Author's Name Taiji Matsuo  
8th Author's Affiliation Hiroshima University (Hiroshima Univ.)
9th Author's Name Shigeto Yoshida  
9th Author's Affiliation Hiroshima University (Hiroshima Univ.)
10th Author's Name Shinji Tanaka  
10th Author's Affiliation Hiroshima University (Hiroshima Univ.)
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Speaker Author-1 
Date Time 2013-02-21 16:10:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2012-147 
Volume (vol) vol.112 
Number (no) no.441 
Page pp.103-104 
#Pages
Date of Issue 2013-02-14 (PRMU) 


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