Deep Learning Corpus Callosum Segmentation as a Neurodegenerative Marker in Multiple Sclerosis.

Michael PlattenIrene BrusiniOlle AnderssonRussell A OuelletteFredrik PiehlChunliang WangTobias Granberg

Published in: Journal of neuroimaging : official journal of the American Society of Neuroimaging (2021)

DeepnCCA (https://github.com/plattenmichael/DeepnCCA/) is an openly available tool that can provide fast and accurate corpus callosum measurements applicable to large MS cohorts, potentially suitable for monitoring disease progression and therapy response.

Keyphrases

deep learning
multiple sclerosis
convolutional neural network
artificial intelligence
white matter
machine learning
mass spectrometry
high resolution
ms ms