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Paper Abstract and Keywords
Presentation 2014-09-18 13:00
[Invited Talk] Architecture Development for the Real-time Computer-Aided Diagnosis of Colorectal Endoscopic Images with NBI Magnification
Tetsushi Koide (Hiroshima Univ.) RECONF2014-17
Abstract (in Japanese) (See Japanese page) 
(in English) With the increase in patients of colorectal cancer in recent years, the requirement of the effective diagnostic support system is increased. In this study, we propose an architecture for real-time computer-aided diagnosis (CAD) system of colorectal endoscopic images with narrow-band imaging (NBI) magnification. The proposed algorithm consists of three main processings: (1) the feature extraction which is based on a bag-of-features (BoF) representation of local features and the Dense Scale-Invariant Feature Transform (D-SIFT), (2) the feature transformation based on the visual word histogram construction with k-means clustering, and (3) the type classification based on the support vector machine. We develop the hardware-oriented algorithm for each processing and investigate a trade-off of the recognition precision of these algorithms and the speedup by the FPGA implementation for the real time processing of full high definition (1920 x 1080 pixels) image. In this paper, we show the hardware algorithms, simulation results, architecture designs, and these FPGA implementations.
Keyword (in Japanese) (See Japanese page) 
(in English) Colorectal Endoscopic Images / Computer-Aided Diagnosis (CAD) / Real-Time Image Processing / Bag-of-Features (BoF) / Dense Scale-Invariant Feature Transform (D-SIFT) / k-means Clustering / Support Vector Machine (SVM) / FPGA  
Reference Info. IEICE Tech. Rep., vol. 114, no. 223, RECONF2014-17, pp. 1-6, Sept. 2014.
Paper # RECONF2014-17 
Date of Issue 2014-09-11 (RECONF) 
ISSN Print edition: ISSN 0913-5685    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 RECONF2014-17

Conference Information
Committee RECONF  
Conference Date 2014-09-18 - 2014-09-19 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) Reconfigurable Systems, etc. 
Paper Information
Registration To RECONF 
Conference Code 2014-09-RECONF 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Architecture Development for the Real-time Computer-Aided Diagnosis of Colorectal Endoscopic Images with NBI Magnification 
Sub Title (in English)  
Keyword(1) Colorectal Endoscopic Images  
Keyword(2) Computer-Aided Diagnosis (CAD)  
Keyword(3) Real-Time Image Processing  
Keyword(4) Bag-of-Features (BoF)  
Keyword(5) Dense Scale-Invariant Feature Transform (D-SIFT)  
Keyword(6) k-means Clustering  
Keyword(7) Support Vector Machine (SVM)  
Keyword(8) FPGA  
1st Author's Name Tetsushi Koide  
1st Author's Affiliation Hiroshima University (Hiroshima Univ.)
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Speaker Author-1 
Date Time 2014-09-18 13:00:00 
Presentation Time 50 minutes 
Registration for RECONF 
Paper # RECONF2014-17 
Volume (vol) vol.114 
Number (no) no.223 
Page pp.1-6 
#Pages 6 
Date of Issue 2014-09-11 (RECONF) 

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