US Patent Issued to CARL ZEISS MEDITEC on March 17 for "Method and system for choroid-scleral segmentation using deep learning with a choroid-scleral layer model" (California Inventors)

ALEXANDRIA, Va., March 17 -- United States Patent no. 12,575,726, issued on March 17, was assigned to CARL ZEISS MEDITEC INC. (Dublin, Calif.).

"Method and system for choroid-scleral segmentation using deep learning with a choroid-scleral layer model" was invented by Homayoun Bagherinia (Oakland, Calif.) and Lars Omlor (Pleasanton, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A System/Method/Device for segmenting the choroid-scleral layer from an optical coherent tomography (OCT) volume scan. The present system uses a deep learning machine model based on a neural network that include multiple convolution layers, but no deconvolution layers. Rather, the present neural network is based on a novel arch...