US Patent Issued to Arizona Board of Regents on Behalf of Arizona State University on Feb. 4 for "Systems, methods, and apparatuses for actively and continually fine-tuning convolutional neural networks to reduce annotation requirements" (Arizona Inventors)

ALEXANDRIA, Va., Feb. 5 -- United States Patent no. 12,216,737, issued on Feb. 4, was assigned to Arizona Board of Regents on Behalf of Arizona State University (Scottsdale, Ariz.).

"Systems, methods, and apparatuses for actively and continually fine-tuning convolutional neural networks to reduce annotation requirements" was invented by Zongwei Zhou (Tempe, Ariz.), Jae Shin (Chandler, Ariz.) and Jianming Liang (Scottsdale, Ariz.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Described herein are systems, methods, and apparatuses for actively and continually fine-tuning convolutional neural networks to reduce annotation requirements, in which the trained networks are then utilized in the context of medical im...