Deepfakes in Ophthalmology: Applications and Realism of Synthetic Retinal Images from Generative Adversarial Networks

PURPOSE: Generative adversarial networks (GANs) are deep learning (DL) models that can create and modify realistic-appearing synthetic images, or deepfakes, from real images. The purpose of our study was to evaluate the ability of experts to discern synthesized retinal fundus images from real fundus...

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Detalles Bibliográficos
Autores principales: Chen, Jimmy S., Coyner, Aaron S., Chan, R.V. Paul, Hartnett, M. Elizabeth, Moshfeghi, Darius M., Owen, Leah A., Kalpathy-Cramer, Jayashree, Chiang, Michael F., Campbell, J. Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
The VSI: Artificial Intelligence and Big Data Collection
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9562356/
https://www.ncbi.nlm.nih.gov/pubmed/36246951
http://dx.doi.org/10.1016/j.xops.2021.100079

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9562356/
https://www.ncbi.nlm.nih.gov/pubmed/36246951
http://dx.doi.org/10.1016/j.xops.2021.100079

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