18. An auto-segmentation apparatus comprising: a processor configured to: perform 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 the processor is further configured to perform the atlas-based auto-segmentation by registering the subject image with a plurality of the atlas images to map point of the subject images to points of the atlas images, apply a plurality of points in the subject image to a trained classifier to generate second data representative of the a least one structure in the subject image, combine the first data with the second data to generate third data representative of the at least one structure in the subject image, and determine based on the data structure classification associated with the subject image.
18. An auto-segmentation apparatus comprising: a processor configured to: perform 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 the processor is further configured to perform the atlas-based auto-segmentation by registering the subject image with a plurality of the atlas images to map point of the subject images to points of the atlas images, apply a plurality of points in the subject image to a trained classifier to generate second data representative of the a least one structure in the subject image, combine the first data with the second data to generate third data representative of the at least one structure in the subject image, and determine based on the data structure classification associated with the subject image. 32. The apparatus of claim 18 wherein the processor is further configured to compute a plurality of attributes for the plurality of points in the subject image to be applied to the trained classifier, and apply a plurality of points in the subject image and the computed attributes for those points to the trained classifier to generate the second data.