Patch-based convolutional neural networks for automatic landmark detection of 3D facial images in clinical settings.
Journal:
European journal of orthodontics
Published Date:
Dec 1, 2024
Abstract
BACKGROUND: The facial landmark annotation of 3D facial images is crucial in clinical orthodontics and orthognathic surgeries for accurate diagnosis and treatment planning. While manual landmarking has traditionally been the gold standard, it is labour-intensive and prone to variability.