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Paper Abstract and Keywords
Presentation 2023-12-08 14:10
Improvement of Multi-task Training for Detection of Calcification Regions in Dental Panoramic Radiographs
Kazuki Iwasaki, Mitsuji Muneyasu, Taito Murano, Soh Yoshida, Akira Asano (Kansai Univ.), Nanae Dewake, Nobuo Yoshinari (Matsumoto Dental Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital) SIS2023-43
Abstract (in Japanese) (See Japanese page) 
(in English) Carotid arteries on dental panoramic radiographs may show areas of calcification, a sign of vascular disease. Detection of these areas is expected to prevent the sudden onset of vascular disorders by prompting patients to consult a physician. For this purpose, an automatic detection method based on a model combining semantic segmentation and convolutional neural networks has been proposed. This method used Nash-MTL, a multi-task learning method, for solving the trade-off between segmentation and identification tasks with different properties. In this method, the parameters for adjusting the gradient vector are obtained by an optimization method. However, in the case of two tasks, as in this problem, the exact solution can be obtained, and it can also be simplified to reduce the computational complexity without compromising accuracy. The effectiveness of the proposed method is demonstrated by applying it to actual data.
Keyword (in Japanese) (See Japanese page) 
(in English) dental panoramic radiograph / vascular disease / deep learning / semantic segmentation / Nash-MTL / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 296, SIS2023-43, pp. 105-110, Dec. 2023.
Paper # SIS2023-43 
Date of Issue 2023-11-30 (SIS) 
ISSN 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 SIS  
Conference Date 2023-12-07 - 2023-12-08 
Place (in Japanese) (See Japanese page) 
Place (in English) Sakurayama Campus, Nagoya City University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Smart Personal Sysytems, etc. 
Paper Information
Registration To SIS 
Conference Code 2023-12-SIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improvement of Multi-task Training for Detection of Calcification Regions in Dental Panoramic Radiographs 
Sub Title (in English)  
Keyword(1) dental panoramic radiograph  
Keyword(2) vascular disease  
Keyword(3) deep learning  
Keyword(4) semantic segmentation  
Keyword(5) Nash-MTL  
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1st Author's Name Kazuki Iwasaki  
1st Author's Affiliation Kansai University (Kansai Univ.)
2nd Author's Name Mitsuji Muneyasu  
2nd Author's Affiliation Kansai University (Kansai Univ.)
3rd Author's Name Taito Murano  
3rd Author's Affiliation Kansai University (Kansai Univ.)
4th Author's Name Soh Yoshida  
4th Author's Affiliation Kansai University (Kansai Univ.)
5th Author's Name Akira Asano  
5th Author's Affiliation Kansai University (Kansai Univ.)
6th Author's Name Nanae Dewake  
6th Author's Affiliation Matsumoto Dental University (Matsumoto Dental Univ.)
7th Author's Name Nobuo Yoshinari  
7th Author's Affiliation Matsumoto Dental University (Matsumoto Dental Univ.)
8th Author's Name Keiichi Uchida  
8th Author's Affiliation Matsumoto Dental University Hospital (Matsumoto Dental Univ. Hospital)
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Speaker Author-1 
Date Time 2023-12-08 14:10:00 
Presentation Time 20 minutes 
Registration for SIS 
Paper # SIS2023-43 
Volume (vol) vol.123 
Number (no) no.296 
Page pp.105-110 
#Pages 6 
Date of Issue 2023-11-30 (SIS) 

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