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Paper Abstract and Keywords
Presentation 2020-01-29 13:20
Tooth detection based on relation of teeth with Relation Module on dental Cone-beam CT
Shota Kutsuna (Gifu Univ.), Chisako Muramatsu (Shiga Univ.), Ryo Takahashi, Tatsuro Hayashi (Media CO., Ltd.), Xiangrong Zhor (Gifu Univ.), Wataru nishiyama (Asashi Univ.), Yoshiko Ariji (Aichi-Gakuin Univ.), Takeshi Hara (Gifu Univ.), Akitoshi Katsumata (Asashi Univ.), Eichiro Ariji (Aichi-Gakuin Univ.), Hiroshi Fujita (Gifu Univ.) MI2019-82
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, image diagnosis using dental panoramic X-ray images and dental cone-beam CT (CBCT) is widely used in dental treatment. CBCT accurately represents the anatomical information and is used for diagnosis and treatment planning. In this study, we aim to automatically recognize teeth to assist doctors in interpretation. The order of the dentition is an important information for recognizing the tooth type. Therefore, we consider the relation module that takes into account the relationship between objects is effective for this study. Based on the features extracted from the input images by using CNN, the relation module outputs the box regression results and their tooth types. Using 84 cases, we evaluated the detection performance by cross-validation. As a result, the high detection rate over 90% was obtained.
Keyword (in Japanese) (See Japanese page) 
(in English) Dental CT / Deep Learning / Object Detection / / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 399, MI2019-82, pp. 75-76, Jan. 2020.
Paper # MI2019-82 
Date of Issue 2020-01-22 (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 2020-01-29 - 2020-01-30 
Place (in Japanese) (See Japanese page) 
Place (in English) OKINAWAKEN SEINENKAIKAN 
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) Tooth detection based on relation of teeth with Relation Module on dental Cone-beam CT 
Sub Title (in English)  
Keyword(1) Dental CT  
Keyword(2) Deep Learning  
Keyword(3) Object Detection  
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1st Author's Name Shota Kutsuna  
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 CO., Ltd.)
4th Author's Name Tatsuro Hayashi  
4th Author's Affiliation Media CO., Ltd. (Media CO., Ltd.)
5th Author's Name Xiangrong Zhor  
5th Author's Affiliation Gifu University (Gifu Univ.)
6th Author's Name Wataru nishiyama  
6th Author's Affiliation Asahi University (Asashi Univ.)
7th Author's Name Yoshiko Ariji  
7th Author's Affiliation Aichi-Gakuin University (Aichi-Gakuin 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 (Asashi Univ.)
10th Author's Name Eichiro Ariji  
10th Author's Affiliation Aichi-Gakuin University (Aichi-Gakuin Univ.)
11th Author's Name Hiroshi Fujita  
11th Author's Affiliation Gifu University (Gifu Univ.)
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Speaker Author-1 
Date Time 2020-01-29 13:20:00 
Presentation Time 30 minutes 
Registration for MI 
Paper # MI2019-82 
Volume (vol) vol.119 
Number (no) no.399 
Page pp.75-76 
#Pages 2 
Date of Issue 2020-01-22 (MI) 

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