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Voxel-based superimposition of serial craniofacial CBCTs: Reliability, reproducibility and segmentation effect on hard-tissue outcomes.

Simeon T HänerGeorgios KanavakisFrançois MattheyNikolaos Gkantidis
Published in: Orthodontics & craniofacial research (2019)
The tested voxel-based superimposition method presented good efficiency, cranial base matching and reproducibility in a growing patient sample. Segmentation error was considered minimal. The total error reached clinically relevant levels in very few cases. Thus, this technique is considered appropriate for clinical use, when 3D assessment of craniofacial changes is required.
Keyphrases
  • deep learning
  • convolutional neural network
  • case report
  • type diabetes
  • machine learning