DEEP LEARNING FOR MULTI-SITE MS LESIONS SEGMENTATION: TWO-STEP INTENSITY STANDARDIZATION AND GENERALIZED LOSS FUNCTION

We present an improved CNN framework for the segmentation of Multiple Sclerosis (MS) lesions from multi-modal MRI. It uses a two-step intensity normalization and a cascaded network with cost sensitive learning. Performance was assessed on a public multi-site data-set.