1. A method comprising: processing, by a processing device, an image of a stained tissue section of a patient; extracting from the processed image a set of feature values for a set of cell-based features; associating, based on the set of feature values, the processed image with a particular cluster of a plurality of clusters, wherein the plurality of clusters is defined with respect to a feature space corresponding to the set of features, wherein the particular cluster identifies a morphometric subtype; and determining whether the morphometric subtype is prognostic-predictive and, in response: characterizing heterogeneity of a tumor of the patient and evaluating whether heterogeneity is more virulent in terms of prognosis or prediction, and inferring molecular correlates of a compute morphometric subtype through association with genome-wide molecular data for the tumor.