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Paper Abstract and Keywords
Presentation 2022-01-25 16:37
[Short Paper] Recognition of teeth and dental prostheses in dental panoramic radiographs using multi-label detection
Takumi Morishita (Gifu Univ.), Chisako Muramatsu (Shiga Univ.), Ryo Takahashi, Tatsuro Hayashi (media), Yuta Seino (Gifu Univ.), Wataru Nishiyama (Asahi Univ.), Xiangrong Zhou, Takeshi Hara (Gifu Univ.), Akitoshi Katsumata (Asahi Univ.), Hiroshi Fujita (Gifu Univ.) MI2021-51
Abstract (in Japanese) (See Japanese page) 
(in English) The purpose of this study is to analyze dental panoramic radiographs for completing dental files to contribute to the diagnosis by dentists. In this study, two problems were addressed using 925 cases: the first one is the recognition of 32 tooth types (including dental prosthesis), and the second is to classify the detected teeth into four tooth attributes (tooth, remaining root, pontic, and implant). We processed these simultaneously by multi-label detection. Using YOLOv4 and post-processing, the results showed that the tooth detection recall was 99.67%, the number of false positives was 0.07 per image, and the 32-type recognition recall was 98.70%. For the classification of the four tooth attributes, the accuracy was 0.995, the recall was 0.941, and the precision was 0.871.
Keyword (in Japanese) (See Japanese page) 
(in English) Dental panoramic radiographs / Deep learning / Computer-assisted diagnosis / YOLOv4 / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 347, MI2021-51, pp. 37-38, Jan. 2022.
Paper # MI2021-51 
Date of Issue 2022-01-18 (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 2022-01-25 - 2022-01-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MI 
Conference Code 2022-01-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Recognition of teeth and dental prostheses in dental panoramic radiographs using multi-label detection 
Sub Title (in English)  
Keyword(1) Dental panoramic radiographs  
Keyword(2) Deep learning  
Keyword(3) Computer-assisted diagnosis  
Keyword(4) YOLOv4  
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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 Ryo Takahashi  
3rd Author's Affiliation Media Co., Ltd (media)
4th Author's Name Tatsuro Hayashi  
4th Author's Affiliation Media Co., Ltd (media)
5th Author's Name Yuta Seino  
5th Author's Affiliation Gifu University (Gifu Univ.)
6th Author's Name Wataru Nishiyama  
6th Author's Affiliation Asahi University (Asahi Univ.)
7th Author's Name Xiangrong Zhou  
7th Author's Affiliation Gifu University (Gifu Univ.)
8th Author's Name Takeshi Hara  
8th Author's Affiliation Gifu University (Gifu Univ.)
9th Author's Name Akitoshi Katsumata  
9th Author's Affiliation Asahi University (Asahi Univ.)
10th Author's Name Hiroshi Fujita  
10th Author's Affiliation Gifu University (Gifu Univ.)
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Speaker Author-1 
Date Time 2022-01-25 16:37:00 
Presentation Time 13 minutes 
Registration for MI 
Paper # MI2021-51 
Volume (vol) vol.121 
Number (no) no.347 
Page pp.37-38 
#Pages 2 
Date of Issue 2022-01-18 (MI) 

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