Convolutional neural network (CNN) was proposed to identify multiple sclerosis patients and healthy subjects while susceptibility-weighted imaging (SWI) was used for MRI scans preprocessing in order to disclose important features hidden in brain venograms. Using only one two-dimensional slice for each subject makes the proposed algorithm easy-applied and useful for clinical practice.
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