Deep learning segmentation of gadolinium-enhancing lesions in multiple sclerosis.

Ivan CoronadoRefaat E Gabr Ponnada A Narayana

Published in: Multiple sclerosis (Houndmills, Basingstoke, England) (2020)

Excellent segmentation of enhancing lesions was observed for enhancement volume ⩾70 mm3. The best performance was achieved when the input included all five multispectral image sets.

Keyphrases

deep learning
multiple sclerosis
convolutional neural network
artificial intelligence
machine learning
fluorescence imaging
white matter
magnetic resonance imaging
computed tomography