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Paper Abstract and Keywords
Presentation 2022-01-26 13:52
Analysis of Object Detection Model Towards Precise Colorectal-Polyp Detection
Hayato Itoh (Nagoya Univ.), Masashi Misawa (Showa Univ.), Yuichi Mori (Oslo Univ.), Shin-Ei Kudo (Showa Univ.), Masahiro Oda, Kensaku Mori (Nagoya Univ.) MI2021-63
Abstract (in Japanese) (See Japanese page) 
(in English) We propose new visual explanation methods for a trained object detector toward precise automated polyp localisation. Several previous works reported fast polyp detectors based on YOLO. However, these detectors predict only rectangular bounding boxes for polyps. To achieve precise detection of a polyp's location, our visual explanation methods highlight important patterns of an input image in the polyp detection. By analysing a well-trained YOLOv3 with the proposed visual explanation methods, we can extract locations of polyps.
Experimental examples demonstrated the validity of the proposed methods.
Keyword (in Japanese) (See Japanese page) 
(in English) polyp detection / polyp localisation / visual explanationvisual explanation / deep learning / model analysis / Grad-CAM / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 347, MI2021-63, pp. 76-81, Jan. 2022.
Paper # MI2021-63 
Date of Issue 2022-01-18 (MI) 
ISSN Online edition: ISSN 2432-6380
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 MI2021-63

Conference Information
Committee MI  
Conference Date 2022-01-25 - 2022-01-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MI 
Conference Code 2022-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis of Object Detection Model Towards Precise Colorectal-Polyp Detection 
Sub Title (in English)  
Keyword(1) polyp detection  
Keyword(2) polyp localisation  
Keyword(3) visual explanationvisual explanation  
Keyword(4) deep learning  
Keyword(5) model analysis  
Keyword(6) Grad-CAM  
1st Author's Name Hayato Itoh  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Masashi Misawa  
2nd Author's Affiliation Showa University Northern Yokohama Hospital (Showa Univ.)
3rd Author's Name Yuichi Mori  
3rd Author's Affiliation University of Oslo (Oslo Univ.)
4th Author's Name Shin-Ei Kudo  
4th Author's Affiliation Showa University Northern Yokohama Hospital (Showa Univ.)
5th Author's Name Masahiro Oda  
5th Author's Affiliation Nagoya University (Nagoya Univ.)
6th Author's Name Kensaku Mori  
6th Author's Affiliation Nagoya University (Nagoya Univ.)
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Speaker Author-1 
Date Time 2022-01-26 13:52:00 
Presentation Time 13 minutes 
Registration for MI 
Paper # MI2021-63 
Volume (vol) vol.121 
Number (no) no.347 
Page pp.76-81 
Date of Issue 2022-01-18 (MI) 

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