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Paper Abstract and Keywords
Presentation 2016-01-20 09:44
Automatic Polyp Detection from Endoscope Image Using Likelihood Map Based on Edge Information
Hiroaki Hagi, Yuji Iwahori (Chubu Univ.), Kunio Kasugai (Aichi Med. Univ.) MI2015-113
Abstract (in Japanese) (See Japanese page) 
(in English) An endoscope is a medical instrument that acquires images inside the human body.
This paper proposes a new approach for the automatic detection of polyp regions in an endoscope image using a likelihood map based on edge information with high accuracy.
Both of edge information and color information are used to generate a likelihood map so that probability becomes high at around polyp candidate region.
Next, Histograms of Oriented Gradients (HOG) features are extracted from the detected region and random forests are applied for the classification to judge the detected region is polyp region or not.
It is shown that proposed approach has high accuracy for the polyp detection and the usefulness is confirmed in the computer experiments with endoscope images.
Keyword (in Japanese) (See Japanese page) 
(in English) Endoscopy / Automatic Polyp Detection / Random Forests / / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 401, MI2015-113, pp. 193-198, Jan. 2016.
Paper # MI2015-113 
Date of Issue 2016-01-12 (MI) 
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 MI  
Conference Date 2016-01-19 - 2016-01-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Bunka Tenbusu Kan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General topics in medical imaging 
Paper Information
Registration To MI 
Conference Code 2016-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automatic Polyp Detection from Endoscope Image Using Likelihood Map Based on Edge Information 
Sub Title (in English)  
Keyword(1) Endoscopy  
Keyword(2) Automatic Polyp Detection  
Keyword(3) Random Forests  
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1st Author's Name Hiroaki Hagi  
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 Kunio Kasugai  
3rd Author's Affiliation Aichi Medical University (Aichi Med. Univ.)
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Speaker Author-1 
Date Time 2016-01-20 09:44:00 
Presentation Time 12 minutes 
Registration for MI 
Paper # MI2015-113 
Volume (vol) vol.115 
Number (no) no.401 
Page pp.193-198 
#Pages
Date of Issue 2016-01-12 (MI) 


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