ALEXANDRIA, Va., April 7 -- United States Patent no. 12,597,238, issued on April 7, was assigned to GE PRECISION HEALTHCARE LLC (Waukesha, Wis.).

"Automatic image variety simulation for improved deep learning performance" was invented by Xiaomeng Dong (San Ramon, Calif.), Michael Potter (Concord, Calif.), Hongxu Yang (Utrecht, Netherlands), Junpyo Hong (San Ramon, Calif.), Ravi Soni (Livermore, Calif.) and Gopal Biligeri Avinash (Concord, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "In various embodiments, a system can: access a failure image on which a first model has inaccurately performed an inferencing task; train, on a set of dummy images, a second model to learn a visual variety of the failure...