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 |
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MI2020-52 |
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