1. A method for automated segmentation of lesions within a region of interest of a patient, comprising: producing at least one magnetic resonance imaging (MRI) image of the region of interest; generating at least one probability map from the at least one MRI image, a given probability map representing, for each pixel, a likelihood that a lesion is present at the location represented by the pixel given the at least one MRI image of the region of interest; combining the at least one probability map with a plurality of additional probability maps to provide a composite probability map; and identifying lesions from the composite probability map.