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3D morphometric quantification of maxillae and defects for patients with unilateral cleft palate via deep learning-based CBCT image auto-segmentation.

Xiaoyu WangMatthew PastewaitTai-Hsien WuChunfeng LianBeatriz TejeraYan-Ting LeeFeng-Chang LinLi WangDinggang ShenSong LiChing-Chang Ko
Published in: Orthodontics & craniofacial research (2021)
Based on the 3D volumetric segmentations, significant hypoplasia of the maxilla on the cleft side existed in the pyriform aperture and alveolar crest area near the defect. The defect structures appeared to contribute to the variability of the maxilla on the cleft side.
Keyphrases
  • deep learning
  • convolutional neural network
  • artificial intelligence
  • machine learning
  • high resolution
  • magnetic resonance imaging
  • computed tomography
  • image quality
  • magnetic resonance
  • mass spectrometry