首页|'Systems And Methods For Generating Clinically Relevant Images That Preserve Phy sical Attributes Of Humans While Protecting Personal Identity' in Patent Applica tion Approval Process (USPTO 20240135534)
'Systems And Methods For Generating Clinically Relevant Images That Preserve Phy sical Attributes Of Humans While Protecting Personal Identity' in Patent Applica tion Approval Process (USPTO 20240135534)
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The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “The present invention, in some embodiments ther eof, relates to synthesis of images of anatomical structures and, more specifica lly, but not exclusively, to systems and methods for synthesizing anonymous imag es. “A generative adversarial network (GAN) is a type of machine learning model arch itecture that is trained to generate images that look real, but that are actuall y synthetic and do not depict any real-world scenario. GANs may generate images of anatomical structures of humans that look like real people, but are in fact s ynthetic.”
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