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| Paper Abstract and Keywords | ||
| Presentation | 2021-03-15 11:00 Improvement of a skeletal recognition algorithm of bone scintigrams Yuri Hoshino, Atsushi Saito (TUAT), Atsushi Yoshida, Shigeaki Higashiyama, Joji Kwabe (Osaka City Univ), Hiromitsu Daisaki (GCHS), Kazuhiro Nishikawa (NMP), Akinobu Shimizu (TUAT)  MI2020-47 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this paper, we report the results of our work on skeletal recognition processing on bone scintigram. Specifically, we report the results of a study of loss design that takes into account the topological features of bone regions in order to improve anatomically unnatural recognition results. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | bone scintigram / segmentation / diagnostic support / deep learning / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 431, MI2020-47, pp. 1-2, March 2021. | |
| Paper # | MI2020-47 | |
| Date of Issue | 2021-03-08 (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 | MI2020-47 |
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| Conference Information | |
| Committee | MI |
| Conference Date | 2021-03-15 - 2021-03-17 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Medical Imaging |
| Paper Information | |
| Registration To | MI |
| Conference Code | 2021-03-MI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Improvement of a skeletal recognition algorithm of bone scintigrams |
| Sub Title (in English) | |
| Keyword(1) | bone scintigram |
| Keyword(2) | segmentation |
| Keyword(3) | diagnostic support |
| Keyword(4) | deep learning |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Yuri Hoshino |
| 1st Author's Affiliation | Tokyo University of Agriculture and Technology (TUAT) |
| 2nd Author's Name | Atsushi Saito |
| 2nd Author's Affiliation | Tokyo University of Agriculture and Technology (TUAT) |
| 3rd Author's Name | Atsushi Yoshida |
| 3rd Author's Affiliation | Osaka City University Hospital (Osaka City Univ) |
| 4th Author's Name | Shigeaki Higashiyama |
| 4th Author's Affiliation | Osaka City University Hospital (Osaka City Univ) |
| 5th Author's Name | Joji Kwabe |
| 5th Author's Affiliation | Osaka City University Hospital (Osaka City Univ) |
| 6th Author's Name | Hiromitsu Daisaki |
| 6th Author's Affiliation | Gunma Prefectural College of Health Sciences (GCHS) |
| 7th Author's Name | Kazuhiro Nishikawa |
| 7th Author's Affiliation | Nihon Medi-Physics Co.,Ltd. (NMP) |
| 8th Author's Name | Akinobu Shimizu |
| 8th Author's Affiliation | Tokyo University of Agriculture and Technology (TUAT) |
| Speaker | Author-1 |
| Date Time | 2021-03-15 11:00:00 |
| Presentation Time | 15 minutes |
| Registration for | MI |
| Paper # | MI2020-47 |
| Volume (vol) | vol.120 |
| Number (no) | no.431 |
| Page | pp.1-2 |
| #Pages | 2 |
| Date of Issue | 2021-03-08 (MI) |
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