A Performance Comparison between Automated Deep Learning and Dental Professionals in Classification of Dental Implant Systems from Dental Imaging: A Multi-Center Study

In this study, the efficacy of the automated deep convolutional neural network (DCNN) was evaluated for the classification of dental implant systems (DISs) and the accuracy of the performance was compared against that of dental professionals using dental radiographic images collected from three dent...

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Bibliographic Details
Main Authors: Jae-Hong Lee, Young-Taek Kim, Jong-Bin Lee, Seong-Nyum Jeong
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Diagnostics
Subjects:
Online Access:https://www.mdpi.com/2075-4418/10/11/910