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Using a Visual Turing Test to Evaluate the Realism of Generative Adversarial Network (GAN)-Based Synthesized Myocardial Perfusion Images

As the quality of image generation by deep learning increases, it is becoming difficult to discern its authenticity from the image alone. Currently, generative models represented by generative adversarial networks (GAN) are increasingly utilized in the research field of cardiology, and their potenti...

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Detalles Bibliográficos
Autores principales: Higaki, Akinori, Kawada, Yoshitaka, Hiasa, Go, Yamada, Tadakatsu, Okayama, Hideki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9683859/
https://www.ncbi.nlm.nih.gov/pubmed/36439582
http://dx.doi.org/10.7759/cureus.30646