首页|Patent Issued for Systems and methods for generating clinically relevant images that preserve physical attributes of humans while protecting personal identity ( USPTO 12154274)
Patent Issued for Systems and methods for generating clinically relevant images that preserve physical attributes of humans while protecting personal identity ( USPTO 12154274)
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NETL
NSTL
Reporters obtained the following quote from the background information supplied by the inventors:“FIELD AND BACKGROUND OF THE INVENTION“The present invention, in some embodiments thereof, relates to synthesis of ima ges of anatomicalstructures and, more specifically, but not exclusively, to sys tems and methods for synthesizing anonymousimages.“A generative adversarial network (GAN) is a type of machine learning model arch itecture that istrained to generate images that look real, but that are actuall y synthetic and do not depict any real-worldscenario. GANs may generate images of anatomical structures of humans that look like real people, butare in fact s ynthetic.”
NETL
NSTL
