A new segmentation algorithm for measuring CBCT images of nasal airway: a pilot study.

Chen Zhang Robin BrugginkFrank BaanEwald BronkhorstThomas MaalHong HeEdwin M Ongkosuwito

Published in: PeerJ (2019)

With the aid of a 3D printing technique, the new algorithm AS was found to be a clinically reliable and accurate tool for the segmentation and reconstruction of the nasal airway space.

Keyphrases

deep learning
convolutional neural network
chronic rhinosinusitis
machine learning
high resolution
image quality
mass spectrometry
magnetic resonance
contrast enhanced