Evaluating severity of white matter lesions from computed tomography images with convolutional neural network.

Johanna PitkänenJuha KoikkalainenTuomas NieminenIvan MarinkovicSami CurtzeGerli SiboltHanna JokinenDaniel RueckertFrederik BarkhofReinhold SchmidtLeonardo PantoniPhilip ScheltensLars-Olof WahlundAntti KorvenojaJyrki LötjönenTimo ErkinjunttiSusanna Melkas

Published in: Neuroradiology (2020)

CNN-based segmentation of CT images may provide a means to evaluate the severity of WML and establish a link between CT WML patterns and the current standard MRI-based visual rating scale.

Keyphrases

convolutional neural network
contrast enhanced
computed tomography
dual energy
deep learning
image quality
white matter
magnetic resonance imaging
positron emission tomography
magnetic resonance
diffusion weighted imaging
multiple sclerosis
machine learning
optical coherence tomography