1. A method for using learned discriminative models to segment a border of an anatomical structure in a three dimensional (3D) image comprising the steps of: computing a discriminative probability model for each voxel in the 3D image; performing thresholding on each discriminative probability model; obtaining one or more two dimensional (2D) slices of the thresholded 3D image along X-Y planes; selecting seed regions in the 2D slices; performing morphological region growing on the selected seed regions; obtaining an initial 3D segmentation; performing boundary evolution on the initial 3D segmentation; and removing the segmented anatomical structure in the original 3D image.