Retrospective Analysis of Artifacts in Cone Beam Computed Tomography Images Used to Diagnose Chronic Rhinosinusitis.

Niina Kuusisto Jussi HirvonenAuli SuominenStina M SyrjänenSisko HuumonenPekka VallittuIlpo Kinnunen

Published in: Diagnostics (Basel, Switzerland) (2023)

AP as an etiology of CRS is possible to miss because of artifacts originating from dental and endodontic fillings in the CBCT images of the paranasal sinuses.

Keyphrases

cone beam computed tomography
chronic rhinosinusitis
deep learning
convolutional neural network
image quality
optical coherence tomography
transcription factor
oral health
computed tomography
magnetic resonance
machine learning