Automated Feature Extraction from Brain Lesion Masks using Deep Learning for Predicting Secondary Progressive Multiple Sclerosis Progression

A deep learning network for automatic extraction of brain lesion features from baseline binary lesion masks for shortterm prediction of disability worsening is proposed and compared to a multivariate logistic regression model using only baseline user-defined clinical, demographical, and MRI features.