Abstract: The invention provides a system and method for processing medical images. Input medical images are normalized first, utilizing pixel intensities of control point tissues, including subcutaneous fat. Clustered density map and malignance probability map are generated from a normalized image and further analyzed to identity regions of common internal characteristics, or blobs, that may represent lesions. These blobs are analyzed and classified to differentiate possible true lesions from other types of non-malignant masses often seen in medical images.