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| 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 |
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| 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. |
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| 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 | |
| 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 | MI2021-63 |
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| 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 |
| Keyword(7) | |
| Keyword(8) | |
| 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 |
| #Pages | 6 |
| Date of Issue | 2022-01-18 (MI) |
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