Transfer Learning via Deep Neural Networks for Implant Fixture System Classification Using Periapical Radiographs

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...

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Bibliographic Details
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:
implant fixture classification
artificial intelligence
deep learning
convolutional neural networks
periapical radiographs
Online Access:https://www.mdpi.com/2077-0383/9/4/1117

Internet

https://www.mdpi.com/2077-0383/9/4/1117

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