Quantitatively characterizing disease morphology with co-occurring gland tensors in localized subgraphs

Abstract

Apparatus, methods, and other embodiments associated with objectively predicting biochemical recurrence with co-occurring gland tensors in localized subgraphs are described. One example apparatus includes a set of logics that associate directional disorder with a risk of failure in a material. A first logic detects a fundamental unit of composition in the material, segments boundaries of the fundamental unit, and calculates a directional tensor for the fundamental unit. A second logic constructs a localized sparsified subgraph whose nodes represent centroids of the fundamental units, defines pairwise spatial relationships between the fundamental units, and constructs a directional co-occurrence matrix based on the spatial relationships. A third logic derives second order statistical features from the co-occurrence matrix, and produces a risk failure score as a function of the second order statistical features. The second order statistical features include the entropy of the directional organization of the fundamental units.