Diagnosis and prediction of periodontally compromised teeth using a deep learning-based convolutional neural network algorithm

PURPOSE: The aim of the current study was to develop a computer-assisted detection system based on a deep convolutional neural network (CNN) algorithm and to evaluate the potential usefulness and accuracy of this system for the diagnosis and prediction of periodontally compromised teeth (PCT). METHO... View More