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TVGG Dental Implant Identification System.

Authors :
Guo J
Tsai PW
Xue X
Wu D
Van QT
Kaluarachchi CN
Dang HT
Chintha N
Source :
Frontiers in pharmacology [Front Pharmacol] 2022 Aug 08; Vol. 13, pp. 948283. Date of Electronic Publication: 2022 Aug 08 (Print Publication: 2022).
Publication Year :
2022

Abstract

Identifying the right accessories for installing the dental implant is a vital element that impacts the sustainability and the reliability of the dental prosthesis when the medical case of a patient is not comprehensive. Dentists need to identify the implant manufacturer from the x-ray image to determine further treatment procedures. Identifying the manufacturer is a high-pressure task under the scaling volume of patients pending in the queue for treatment. To reduce the burden on the doctors, a dental implant identification system is built based on a new proposed thinner VGG model with an on-demand client-server structure. We propose a thinner version of VGG16 called TVGG by reducing the number of neurons in the dense layers to improve the system's performance and gain advantages from the limited texture and patterns in the dental radiography images. The outcome of the proposed system is compared with the original pre-trained VGG16 to verify the usability of the proposed system.<br />Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.<br /> (Copyright © 2022 Guo, Tsai, Xue, Wu, Van, Kaluarachchi, Dang and Chintha.)

Details

Language :
English
ISSN :
1663-9812
Volume :
13
Database :
MEDLINE
Journal :
Frontiers in pharmacology
Publication Type :
Academic Journal
Accession number :
36003505
Full Text :
https://doi.org/10.3389/fphar.2022.948283