ALEXANDRIA, Va., July 16 -- United States Patent no. 12,361,697, issued on July 15, was assigned to The Chinese University of Hong Kong (Hong Kong).

"Multi-task deep-learning method and system to classify diabetic macular edema for different optical coherence tomography devices" was invented by Yim Lui Carol Cheung (Hong Kong), Pheng Ann Heng (Hong Kong), Fangyao Tang (Hong Kong) and Xi Wang (Hong Kong).

According to the abstract* released by the U.S. Patent & Trademark Office: "A deep-learning method and systems for analyzing optical coherence tomography (OCT) images based on a convolutional neural network are provided. The method includes extracting a feature from one or more three-dimensional OCT volumetric scan images and classifying ...