Comparison of cephalometric measurements between conventional and automatic cephalometric analysis using convolutional neural network.
Journal:
Progress in orthodontics
Published Date:
May 31, 2021
Abstract
OBJECTIVE: The rapid development of artificial intelligence technologies for medical imaging has recently enabled automatic identification of anatomical landmarks on radiographs. The purpose of this study was to compare the results of an automatic cephalometric analysis using convolutional neural network with those obtained by a conventional cephalometric approach.