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Paper Abstract and Keywords
Presentation 2014-11-13 13:20
A Hierarchical Type Segmentation Algorithm based on Support Vector Machine for Computer-Aided Diagnosis of Colorectal Endoscopic Images
Takumi Okamoto, Tetsushi Koide, Anh-Tuan Hoang, Koki Sugi, Tatsuya Shimizu, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Yoko Kominami, Shigeto Yoshida, Shinji Tanaka (Hiroshima Univ.) CPSY2014-56
Abstract (in Japanese) (See Japanese page) 
(in English) With the increase of colorectal cancer patients in recent years, the needs of quantitative evaluation of colorectal cancer are increased, and the Computer-Aided Diagnosis (CAD) system which supports doctor's diagnosis is essential. This paper describes type identification module in the above CAD system for colorectal endoscopic images with narrow band imaging (NBI) magnification. In type identification module, the raster scan of a colorectal endoscopic image with Scan Window (SW), is carried out and the type identification of each SW is performed. In this paper, we propose a hierarchical type segmentation algorithm which realizes improvement in accuracy and resolution with combination of different SW sizes. The simulation results are also presented for the cases in which the feature extraction is performed in dense and rough for small and large scan window sizes, respectively.
Keyword (in Japanese) (See Japanese page) 
(in English) Support Vector Mahine (SVM) / Colorectal Endoscopic Images / Computer-Aided Diagnosis (CAD) / Hierarchical Type Segmentation / FPGA / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 302, CPSY2014-56, pp. 13-18, Nov. 2014.
Paper # CPSY2014-56 
Date of Issue 2014-11-06 (CPSY) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 CPSY  
Conference Date 2014-11-13 - 2014-11-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Hiroshima University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Cloud Computing, etc. 
Paper Information
Registration To CPSY 
Conference Code 2014-11-CPSY 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Hierarchical Type Segmentation Algorithm based on Support Vector Machine for Computer-Aided Diagnosis of Colorectal Endoscopic Images 
Sub Title (in English)  
Keyword(1) Support Vector Mahine (SVM)  
Keyword(2) Colorectal Endoscopic Images  
Keyword(3) Computer-Aided Diagnosis (CAD)  
Keyword(4) Hierarchical Type Segmentation  
Keyword(5) FPGA  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Takumi Okamoto  
1st Author's Affiliation Hiroshima University (Hiroshima Univ.)
2nd Author's Name Tetsushi Koide  
2nd Author's Affiliation Hiroshima University (Hiroshima Univ.)
3rd Author's Name Anh-Tuan Hoang  
3rd Author's Affiliation Hiroshima University (Hiroshima Univ.)
4th Author's Name Koki Sugi  
4th Author's Affiliation Hiroshima University (Hiroshima Univ.)
5th Author's Name Tatsuya Shimizu  
5th Author's Affiliation Hiroshima University (Hiroshima Univ.)
6th Author's Name Toru Tamaki  
6th Author's Affiliation Hiroshima University (Hiroshima Univ.)
7th Author's Name Bisser Raytchev  
7th Author's Affiliation Hiroshima University (Hiroshima Univ.)
8th Author's Name Kazufumi Kaneda  
8th Author's Affiliation Hiroshima University (Hiroshima Univ.)
9th Author's Name Yoko Kominami  
9th Author's Affiliation Hiroshima University (Hiroshima Univ.)
10th Author's Name Shigeto Yoshida  
10th Author's Affiliation Hiroshima University (Hiroshima Univ.)
11th Author's Name Shinji Tanaka  
11th Author's Affiliation Hiroshima University (Hiroshima Univ.)
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Speaker Author-1 
Date Time 2014-11-13 13:20:00 
Presentation Time 25 minutes 
Registration for CPSY 
Paper # CPSY2014-56 
Volume (vol) vol.114 
Number (no) no.302 
Page pp.13-18 
#Pages
Date of Issue 2014-11-06 (CPSY) 


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