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Paper Abstract and Keywords
Presentation 2020-01-29 13:20
[Short Paper] Recognition of dentition using deep learning in dental panoramic X-ray images
Takumi Morishita (Gifu Univ.), Chisako Muramatsu (Shiga Univ.), Xiangrong Zhou (Gifu Univ.), Ryo Takahashi, Tatsuro Hayashi (media), Wataru Nishiyama (Asahi Univ), Takeshi Hara (Gifu Univ.), Yoshiko Ariji, Eiichiro Ariji (Aichi Gakuin Univ.), Akitoshi Katsumata (Asahi Univ), Hiroshi Fujita (Gifu Univ.) MI2019-81
Abstract (in Japanese) (See Japanese page) 
(in English) Dental panoramic X-ray images are obtained at more than 98% of dental clinics in Japan. However, since all the teeth are depicted in the image, it takes a lot of time and effort for dentists to make an accurate image diagnosis of all teeth. The purpose of this study is to analyze dental panoramic X-ray images using deep learning, and to contribute to the diagnosis by dentists. As the initial stage, we detected teeth in images and classified their tooth types. We compared the accuracy of the Single Shot Multibox Detector (SSD) with that of the proposed method based on the SSD with a network branch. As a result, the proposed method exceeded the original SSD. The detection rate of the teeth was 96.5%, and the number of false detections was 0.32. The classification rate was 95.5% for 14 tooth types.
Keyword (in Japanese) (See Japanese page) 
(in English) Dental panoramic X-ray images / Deep Learning / CAD / / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 399, MI2019-81, pp. 73-74, Jan. 2020.
Paper # MI2019-81 
Date of Issue 2020-01-22 (MI) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF MI2019-81

Conference Information
Committee MI  
Conference Date 2020-01-29 - 2020-01-30 
Place (in Japanese) (See Japanese page) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical Image Engineering, Analysis, Recognition, etc. 
Paper Information
Registration To MI 
Conference Code 2020-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Recognition of dentition using deep learning in dental panoramic X-ray images 
Sub Title (in English)  
Keyword(1) Dental panoramic X-ray images  
Keyword(2) Deep Learning  
Keyword(3) CAD  
1st Author's Name Takumi Morishita  
1st Author's Affiliation Gifu University (Gifu Univ.)
2nd Author's Name Chisako Muramatsu  
2nd Author's Affiliation Shiga University (Shiga Univ.)
3rd Author's Name Xiangrong Zhou  
3rd Author's Affiliation Gifu University (Gifu Univ.)
4th Author's Name Ryo Takahashi  
4th Author's Affiliation MEDIA (media)
5th Author's Name Tatsuro Hayashi  
5th Author's Affiliation MEDIA (media)
6th Author's Name Wataru Nishiyama  
6th Author's Affiliation Asahi University (Asahi Univ)
7th Author's Name Takeshi Hara  
7th Author's Affiliation Gifu University (Gifu Univ.)
8th Author's Name Yoshiko Ariji  
8th Author's Affiliation Aichi Gakuin University (Aichi Gakuin Univ.)
9th Author's Name Eiichiro Ariji  
9th Author's Affiliation Aichi Gakuin University (Aichi Gakuin Univ.)
10th Author's Name Akitoshi Katsumata  
10th Author's Affiliation Asahi University (Asahi Univ)
11th Author's Name Hiroshi Fujita  
11th Author's Affiliation Gifu University (Gifu Univ.)
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Date Time 2020-01-29 13:20:00 
Presentation Time 30 
Registration for MI 
Paper # IEICE-MI2019-81 
Volume (vol) IEICE-119 
Number (no) no.399 
Page pp.73-74 
#Pages IEICE-2 
Date of Issue IEICE-MI-2020-01-22 

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