1. An apparatus for classifying a region of tissue in an image, comprising: a processor; a memory; an input/output interface; a set of circuits; and an interface to connect the processor, the memory, the input/output interface and the set of circuits, where the set of circuits includes: an image acquisition circuit that acquires an image of a region of tissue demonstrating cancerous pathology, where the image comprises a set of tiles; an adaptive sampling circuit that selects a subset of tiles from the image using an iterative quasi-Monte Carlo (QMC) Sobol sequence sampling approach or an iterative QMC Halton sequence sampling approach, where the subset of tiles comprises N tiles, where N is less that the number of tiles in the set of tiles, N being an integer; an invasiveness circuit that determines a probability of a presence of invasive pathology in a member of the subset of tiles; a probability map circuit that generates an invasiveness probability map based, at least in part, on the probability; a probability gradient circuit that generates a gradient image based, at least in part, on the invasiveness probability map, where the gradient image identifies directional changes of the invasiveness probability map; and a classification circuit that classifies the region of tissue based, at least in part, on the probability map.