Center for Computational Imaging and Personalized Diagnostics researchers awarded patent

Wednesday, September 30, 2020 - 16:34

Anant Madabhushi, PhD, and Cheng Lu, PhD, from the Center for Computational Imaging and Personalized Diagnostics (CCIPD) were awarded the patent: “Predicting cancer recurrence using local co-occurrence of cell morphology (LoCoM)”. 

United States Serial Number (USSN): 10,783,627, September 22nd, 2020.

Inventors: Madabhushi; Anant (Shaker Heights, OH), Lu; Cheng (Cleveland Heights, OH)

Abstract: Embodiments include apparatus for predicting cancer recurrence based on local co-occurrence of cell morphology (LoCoM). The apparatus includes image acquisition circuitry that identifies and segments at least one cellular nucleus represented in an image of a region of tissue demonstrating cancerous pathology; local nuclei graph (LNG) circuitry that constructs an LNG based on the at least one cellular nucleus, and computes a set of nuclear morphology features for a nucleus represented in the LNG; LoCoM circuitry that constructs a co-occurrence matrix based on the nuclear morphology features, computes a set of LoCoM features for the co-occurrence matrix, and computes a LoCoM signature for the image based on the set of LoCoM features; progression circuitry that generates a probability that the region of tissue will experience cancer progression based on the LoCoM signature, and classifies the region of tissue as a progressor or non-progressor based on the probability.

Read the full patent details here.