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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
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)
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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  
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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)
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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
Date of Issue 2021-03-08 (MI) 


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