icobrain ms 5.1: Combining unsupervised and supervised approaches for improving the detection of multiple sclerosis lesions

icobrain ms 5.1: Combining unsupervised and supervised approaches for improving the detection of multiple sclerosis lesions

Multiple sclerosis (MS) is a chronic autoimmune, inflammatory neurological disease of the central nervous system. Its diagnosis nowadays commonly includes performing an MRI scan, as it is the most sensitive imaging test for MS. MS plaques are commonly identified from fluid-attenuated inversion recov...

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Bibliographic Details
Main Authors: Mladen Rakić, Sophie Vercruyssen, Simon Van Eyndhoven, Ezequiel de la Rosa, Saurabh Jain, Sabine Van Huffel, Frederik Maes, Dirk Smeets, Diana M. Sima
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:NeuroImage: Clinical
Subjects:
Multiple sclerosis
Lesion segmentation
Attention-gate U-net
Combined classification
Unsupervised machine learning
Deep-learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158221001510

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