1. A method of detecting an aorta without requiring a user seed input, the method comprising: selecting individual image slices within a series of image slices for a candidate cross-section image of the aorta, wherein the series of image slices is used to reconstruct a three-dimensional (3D) image; calculating a confidence score of the candidate cross-section image of the aorta for individual image slices within the series of image slices; identifying a seed image slice, within the series of image slices, having a highest confidence score within a seed cluster of candidate image slices; and growing a segmentation of the aorta by stacking aorta image disks located in consecutive image slices to the identified seed image slice.