15. The method of claim 1 , further comprising: computing a plurality of attributes for the plurality of points in the subject image to be applied to the trained classifier; and wherein applying the plurality of points in the subject image to the trained classifier comprises applying a plurality of points in the subject image and the computed attributes for those points to the trained classifier to generate the second data.
1. An enhanced auto-segmentation method comprising: performing, with a processor, atlas-based auto-segmentation on a plurality of points in a subject image using atlas images to generate first data representative of at least one structure in the subject image, wherein performing the atlas-based auto-segmentation includes registering the subject image with the atlas images to map points of the subject image to points of the atlas images; applying, with the processor, a plurality of points in the subject image to a trained classifier to generate second data representative of the at least one structure in the subject image; combining, with the processor, the first data with the second data to generate third data representative of the at least one structure in the subject image; and determining, based on the third data, structure classifications associated with the subject image.