| Paper Abstract and Keywords |
| Presentation |
2021-03-15 13:15
[Short Paper]
Automatic Classification for Product Names and Treatment Stages of Dental Implants in Dental Panoramic Radiographs Using Deep Learning Kazumasa Yoshii (Gifu Univ.), Shintaro Sukegawa (Kagawa Prefectural Central Hosp.), Takeshi Hara (Gifu Univ.), Katsusuke Yamashita (Towa Manufacturing), Keisuke Nakano, Hitoshi Nagatsuka (Okayama Univ. Grad. Sch.), Yoshihiko Huruki (Kagawa Prefectural Central Hosp.) MI2020-52 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In the treatment of dental implants, it is necessary to identify the product name and treatment stage of the implant before treatment because the instruments used for implant maintenance and prosthetic replacement differ among manufacturers, products, and treatment stages. The classification of the product name and the treatment stage of implants using dental panoramic radiographs is based on the experience of dentists, and the reading of the images is burdensome and may vary among dentists. The purpose of this study is to reduce the burden on dentists by automatically classifying the product name and treatment stage of implants from dental panoramic radiographs. In this study, we used deep learning to classify 11 product names and 3 treatment stages. The accuracy of the product name classification was 0.9736, and the accuracy of the treatment stage classification was 0.9931. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
dental panoramic radiograph / dental implant / deep learning / / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 120, no. 431, MI2020-52, pp. 23-24, March 2021. |
| Paper # |
MI2020-52 |
| Date of Issue |
2021-03-08 (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) |
| Download PDF |
MI2020-52 |
| Conference Information |
| Committee |
MI |
| Conference Date |
2021-03-15 - 2021-03-17 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Medical Imaging |
| Paper Information |
| Registration To |
MI |
| Conference Code |
2021-03-MI |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Automatic Classification for Product Names and Treatment Stages of Dental Implants in Dental Panoramic Radiographs Using Deep Learning |
| Sub Title (in English) |
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| Keyword(1) |
dental panoramic radiograph |
| Keyword(2) |
dental implant |
| Keyword(3) |
deep learning |
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| 1st Author's Name |
Kazumasa Yoshii |
| 1st Author's Affiliation |
Gifu University (Gifu Univ.) |
| 2nd Author's Name |
Shintaro Sukegawa |
| 2nd Author's Affiliation |
Kagawa Prefectural Central Hospital (Kagawa Prefectural Central Hosp.) |
| 3rd Author's Name |
Takeshi Hara |
| 3rd Author's Affiliation |
Gifu University (Gifu Univ.) |
| 4th Author's Name |
Katsusuke Yamashita |
| 4th Author's Affiliation |
Towa Manufacturing (Towa Manufacturing) |
| 5th Author's Name |
Keisuke Nakano |
| 5th Author's Affiliation |
Okayama University Graduate School (Okayama Univ. Grad. Sch.) |
| 6th Author's Name |
Hitoshi Nagatsuka |
| 6th Author's Affiliation |
Okayama University Graduate School (Okayama Univ. Grad. Sch.) |
| 7th Author's Name |
Yoshihiko Huruki |
| 7th Author's Affiliation |
Kagawa Prefectural Central Hospital (Kagawa Prefectural Central Hosp.) |
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| Speaker |
Author-1 |
| Date Time |
2021-03-15 13:15:00 |
| Presentation Time |
15 minutes |
| Registration for |
MI |
| Paper # |
MI2020-52 |
| Volume (vol) |
vol.120 |
| Number (no) |
no.431 |
| Page |
pp.23-24 |
| #Pages |
2 |
| Date of Issue |
2021-03-08 (MI) |