US Patent Issued to The Hong Kong Polytechnic University, The Chinese University of Hong Kong on Nov. 4 for "Weakly-supervised system, method and workflow for processing whole slide image for disease detection" (Chinese Inventors)

ALEXANDRIA, Va., Nov. 6 -- United States Patent no. 12,462,385, issued on Nov. 4, was assigned to The Hong Kong Polytechnic University (Hong Kong) and The Chinese University of Hong Kong (Hong Kong).

"Weakly-supervised system, method and workflow for processing whole slide image for disease detection" was invented by Ho Yin Martin Yeung (Hong Kong), Ngai Nick Alex Wong (Hong Kong), Jung Sun Yoo (Hong Kong), Cheong Kin Ronald Chan (Hong Kong) and Ka Fai To (Hong Kong).

According to the abstract* released by the U.S. Patent & Trademark Office: "In generating training and testing datasets for machine learning, manual annotation of a large volume of data is impractical and expensive. A machine-learning model for detecting carcinoma (CA) from ...