Deepfakes in Ophthalmology

Deepfakes in Ophthalmology

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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Détails bibliographiques
Auteurs principaux: Jimmy S. Chen, MD, Aaron S. Coyner, PhD, R.V. Paul Chan, MD, M. Elizabeth Hartnett, MD, Darius M. Moshfeghi, MD, Leah A. Owen, MD, PhD, Jayashree Kalpathy-Cramer, PhD, Michael F. Chiang, MD, MA, J. Peter Campbell, MD, MPH
Format: article
Langue:EN
Publié: Elsevier 2021
Sujets:
Deep learning
Generative adversarial networks
Ophthalmology
Synthetic images
RE1-994
Accès en ligne:https://doaj.org/article/724242de3b5f4588ac9b5f2db684fce5
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https://doaj.org/article/724242de3b5f4588ac9b5f2db684fce5

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