1. A method for automated analysis of textural differences present on a diagnostic medical image, said image comprising a plurality of pixels, with each pixel having a gray level assigned thereto, said method comprising: defining a region of interest (ROI) on said image; performing at least one first order texture measure within said ROI to describe a frequency of occurrence of all gray levels assigned to pixels of said ROI; performing at least one second order texture measure within said ROI to describe spatial interdependencies between the pixels of said ROI; and classifying said ROI as belonging to a tissue pathology class based upon said first and second order texture measures obtained.