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Assessment of the accuracy of imaging software for 3D rendering of the upper airway, usable in orthodontic and craniofacial clinical settings.

Antonino Lo GiudiceVincenzo RonsivalleGiorgio GastaldiRosalia Leonardi
Published in: Progress in orthodontics (2022)
Despite the excellent inter-software reliability, different semi-automatic segmentation algorithms could generate different patterns of inaccuracy error (underestimation/overestimation) of the upper airway models. Thus, is unreasonable to expect volumetric agreement among different software packages for the 3D rendering of the upper airway anatomy.
Keyphrases
  • deep learning
  • machine learning
  • data analysis
  • oral health
  • mass spectrometry
  • photodynamic therapy
  • clinical evaluation