A Future Picture: A Review of Current Generative Adversarial Neural Networks in Vitreoretinal Pathologies and Their Future Potentials

A Future Picture: A Review of Current Generative Adversarial Neural Networks in Vitreoretinal Pathologies and Their Future Potentials

Machine learning has transformed ophthalmology, particularly in predictive and discriminatory models for vitreoretinal pathologies. However, generative modeling, especially generative adversarial networks (GANs), remains underexplored. GANs consist of two neural networks—the generator and discrimina...

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Bibliographic Details
Main Authors: Raheem Remtulla, Adam Samet, Merve Kulbay, Arjin Akdag, Adam Hocini, Anton Volniansky, Shigufa Kahn Ali, Cynthia X. Qian
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Biomedicines
Subjects:
generative adversarial neural networks
predictive modeling
computer vision
diagnostic imaging
vitreoretinal pathology
Online Access:https://www.mdpi.com/2227-9059/13/2/284
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