Academic radiology
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Generative adversarial networks (GANs) are deep learning models aimed at generating fake realistic looking images. These novel models made a great impact on the computer vision field. Our study aims to review the literature on GANs applications in radiology. ⋯ GANs are increasingly studied for various radiology applications. They enable the creation of new data, which can be used to improve clinical care, education and research.
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Generative adversarial networks (GANs) are deep learning models aimed at generating fake realistic looking images. These novel models made a great impact on the computer vision field. Our study aims to review the literature on GANs applications in radiology. ⋯ GANs are increasingly studied for various radiology applications. They enable the creation of new data, which can be used to improve clinical care, education and research.