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Narrative review of generative adversarial networks in medical and molecular imaging
2021
Annals of Translational Medicine
Recent years have witnessed a rapidly expanding use of artificial intelligence and machine learning in medical imaging. Generative adversarial networks (GANs) are techniques to synthesize images based on artificial neural networks and deep learning. In addition to the flexibility and versatility inherent in deep learning on which the GANs are based, the potential problem-solving ability of the GANs has attracted attention and is being vigorously studied in the medical and molecular imaging
doi:10.21037/atm-20-6325
pmid:34268434
pmcid:PMC8246192
fatcat:6dfpalmijjcrnmlb7e6ppycloq