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Paper Abstract and Keywords
Presentation 2019-12-12 13:50
Improvement of Detection Accuracy of Calcified Area from Dental Panoramic Radiograph Using Deep Learning
Yasuhiro Yamazaki, Mitsuji Muneyasu, Soh Yoshida, Akira Asano (Kansai Univ.), Keiichi Uchida, Yasuaki Ishioka, Nobuo Yoshinari, Akira Taguchi (Matsumoto Dental Univ.) SIS2019-24
Abstract (in Japanese) (See Japanese page) 
(in English) In dental panoramic radiographs, calcification regions, which may be a sign of vascular disease, can be found. It is possible to prevent the sudden onset of vascular disease by judging the presence of calcification by dentists and promoting medical care by physicians. Several methods have been proposed for automatic judging the presence of the calcification regions. However, the identification accuracy is insufficient because of the ambiguity of the features of the calcification regions. Therefore, we propose a method of applying deep learning to the estimation of the position of the calcification regions. The experimental results show that the proposed method can improve the detection accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) calcification region / dental panoramic radiograph / automatic detection / vascular disease / deep learning / neural network / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 335, SIS2019-24, pp. 5-10, Dec. 2019.
Paper # SIS2019-24 
Date of Issue 2019-12-05 (SIS) 
ISSN Print edition: ISSN 0913-5685    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 SIS2019-24

Conference Information
Committee SIS  
Conference Date 2019-12-12 - 2019-12-13 
Place (in Japanese) (See Japanese page) 
Place (in English) Okayama University of Science 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Smart Personal Systems, etc. 
Paper Information
Registration To SIS 
Conference Code 2019-12-SIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improvement of Detection Accuracy of Calcified Area from Dental Panoramic Radiograph Using Deep Learning 
Sub Title (in English)  
Keyword(1) calcification region  
Keyword(2) dental panoramic radiograph  
Keyword(3) automatic detection  
Keyword(4) vascular disease  
Keyword(5) deep learning  
Keyword(6) neural network  
Keyword(7)  
Keyword(8)  
1st Author's Name Yasuhiro Yamazaki  
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 Soh Yoshida  
3rd Author's Affiliation Kansai University (Kansai Univ.)
4th Author's Name Akira Asano  
4th Author's Affiliation Kansai University (Kansai Univ.)
5th Author's Name Keiichi Uchida  
5th Author's Affiliation Matsumoto Dental University (Matsumoto Dental Univ.)
6th Author's Name Yasuaki Ishioka  
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 Akira Taguchi  
8th Author's Affiliation Matsumoto Dental University (Matsumoto Dental Univ.)
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Speaker Author-1 
Date Time 2019-12-12 13:50:00 
Presentation Time 20 minutes 
Registration for SIS 
Paper # SIS2019-24 
Volume (vol) vol.119 
Number (no) no.335 
Page pp.5-10 
#Pages 6 
Date of Issue 2019-12-05 (SIS) 

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