Automated landmarking for palatal shape analysis using geometric deep learning.

Balder Croquet Harold MatthewsJules MertensYi FanNele NauwelaersSoha MahdiHanne HoskensAhmed M El SerganiTianmin XuDirk VandermeulenMichael BronsteinMary MarazitaSeth M Weinberg Peter D Claes

Published in: Orthodontics & craniofacial research (2021)

The automatic landmarking method shows excellent repeatability and promising accuracy, which can streamline patient assessment and research studies. However, landmark indications should be subject to visual quality control.

Keyphrases

deep learning
quality control
artificial intelligence
convolutional neural network
machine learning
case report
high throughput
single cell
clinical evaluation