1. A method for automatically processing a volumetric diagnostic image dataset, comprising: defining a first seed point within a lesion, the lesion being within a first image dataset representative of a subject; defining a first boundary in three dimensions within the first image dataset, the first seed point and the lesion being within the first boundary; determining at least one parameter based on the first image dataset; obtaining at least one preliminary lesion parameter; selecting a first segmentation algorithm from a plurality of segmentation algorithms based on the at least one determined parameter and the at least one preliminary lesion parameter; and segmenting the lesion using the first segmentation algorithm.