1. A method of automatically detecting tissue abnormalities in images of a region of interest of a subject, comprising: obtaining first image data for said region of interest of said subject; normalizing said first image data based on statistical parameters derived from at least a portion of said first image data to provide first normalized image data; obtaining second image data for said region of interest of said subject; normalizing said second image data based on statistical parameters derived from at least a portion of said second image data to provide second normalized image data; processing said first and second normalized image data to provide resultant image data; and generating a probability map for said region of interest based on said resultant image data and a predefined statistical model, wherein said probability map indicates the probability of at least a portion of an abnormality being present at locations within said region of interest.