Transfer Learning via Deep Neural Networks for Implant Fixture System Classification Using Periapical Radiographs
In the absence of accurate medical records, it is critical to correctly classify implant fixture systems using periapical radiographs to provide accurate diagnoses and treatments to patients or to respond to complications. The purpose of this study was to evaluate whether deep neural networks can id...
Main Authors: | Jong-Eun Kim, Na-Eun Nam, June-Sung Shim, Yun-Hoa Jung, Bong-Hae Cho, Jae Joon Hwang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-04-01
|
Series: | Journal of Clinical Medicine |
Subjects: | |
Online Access: | https://www.mdpi.com/2077-0383/9/4/1117 |
Similar Items
-
The level of periapical radiograph using by dentist practice for endodontic treatment in Maros regency
by: Muliaty Yunus, et al.
Published: (2016-06-01) -
Audit of the quality of intraoral periapical radiograph: An institutional study
by: Sunita Shankarrao Patankar, et al.
Published: (2019-01-01) -
Cone beam computed tomography: A tool for the diagnosis of confusing periapical lesions in conventional radiographs
by: Luciana Maria Paes da Silva Ramos Fernandes, et al.
Published: (2014-01-01) -
Assessment of Peri Implant Osteal Changes by Radiographic Evaluation Using Standard Orthopantomograph and Periapical View a Retrospective Study
by: Huda A Salim, et al.
Published: (2018-01-01) -
Ultrasound Imaging versus Radiographs in Differentiating Periapical Lesions: A Systematic Review
by: Shankargouda Patil, et al.
Published: (2021-07-01)