Assessment of marginal gaps and image quality of crowns made of two different restorative materials: An in vitro study using CBCT images.

Paulo Victor Teixeira DoriguêttoDaniela de AlmeidaCarolina Oliveira de LimaRicardo Tadeu LopesKarina Lopes Devito

Published in: Journal of dental research, dental clinics, dental prospects (2022)

Marginal mismatch measures were overestimated in CBCT images. No difference in image quality was observed between the crowns. The correct diagnosis of gaps was considered low, irrespective of crown type and gap size.

Keyphrases

image quality
deep learning
convolutional neural network
computed tomography
optical coherence tomography
dual energy
machine learning
magnetic resonance imaging
magnetic resonance
clinical evaluation