A deep learning approach to dental restoration classification from bitewing and periapical radiographs.
Journal:
Quintessence international (Berlin, Germany : 1985)
Published Date:
Jun 9, 2021
Abstract
OBJECTIVE: The aim of this study was to examine the success of deep learning-based convolutional neural networks (CNN) in the detection and differentiation of amalgam, composite resin, and metal-ceramic restorations from bitewing and periapical radiographs.