US Patent Issued to Memorial Sloan-Kettering Cancer Center on Oct. 21 for "Learning representations of nuclei in histopathology images with contrastive loss" (New York Inventors)

ALEXANDRIA, Va., Oct. 28 -- United States Patent no. 12,450,735, issued on Oct. 21, was assigned to Memorial Sloan-Kettering Cancer Center (New York).

"Learning representations of nuclei in histopathology images with contrastive loss" was invented by Chao Feng (New York), Chad Vanderbilt (New York) and Thomas Fuchs (New York).

According to the abstract* released by the U.S. Patent & Trademark Office: "Presented herein are systems and methods for classifying features from biomedical images. A computing system may identify a first portion corresponding to an ROI in a first biomedical image derived from a sample. The ROI of the first biomedical image may correspond to a feature of the sample. The computing system may generate a first embeddi...