Patent · US Active

Systems and methods for classifying biomedical image data using a graph neural network

US12175666B2 · kind B2 · utility

0Cited by

1References

27Claims

0Family size

Assignee

PathAI, Inc. · US

Inventors

Jason K. Wang · Los Angeles, US
Maryam Pouryahya · Bethesda, US
Kenneth Knute Leidal · Cambridge, US
Oscar M. Carrasco-Zevallos · Somerville, US
Ilan N. Wapinski · Cambridge, US
Amaro N. Taylor-Weiner · Brooklyn, US

Key dates

Filing date	Feb 1, 2022
Grant date	Dec 24, 2024
Priority date	—
Expiry date	Dec 3, 2042

Classification

Technology area (CPC G)Physics
CPC primaryG06V2201/031
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Techniques for classifying biomedical image data using a graph neural network are disclosed. In one particular embodiment, the techniques may be realized as a method for classifying biomedical image data comprising generating an annotated representation of biomedical image data; identifying a plurality of pixel clusters based on the biomedical image data; constructing a graph based on the plurality of pixel clusters; determining at least one biomedical feature for at least one node of the graph based on the annotated representation of the biomedical image data; and processing a graph neural network to classify the biomedical image data based on the at least one biomedical feature.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.