Clinical Validation and Extension of an Automated, Deep Learning-Based Algorithm for Quantitative Sinus CT Analysis.

Conner J Massey Laylaa Ramos Arriaza Daniel M Beswick Vijay R Ramakrishnan Stephen M Humphries

Published in: AJNR. American journal of neuroradiology (2022)

Our quantitative processing of sinus CT images provides objective measures that correspond well to established visual scoring methods. While automation is a clear benefit here, validation may be needed in a prospective, multi-institutional setting.

Keyphrases

deep learning
image quality
dual energy
convolutional neural network
computed tomography
contrast enhanced
artificial intelligence
high resolution
machine learning
magnetic resonance imaging
magnetic resonance
optical coherence tomography
pet ct
neural network