Generative Adversarial Networks in Retinal Image Classification

Generative Adversarial Networks in Retinal Image Classification

The recent introduction of generative adversarial networks has demonstrated remarkable capabilities in generating images that are nearly indistinguishable from real ones. Consequently, both the academic and industrial communities have raised concerns about the challenge of differentiating between fa...

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Bibliographic Details
Main Authors:	Francesco Mercaldo, Luca Brunese, Fabio Martinelli, Antonella Santone, Mario Cesarelli
Format:	Article
Language:	English
Published:	MDPI AG 2023-09-01
Series:	Applied Sciences
Subjects:	generative adversarial network deep convolutional generative adversarial network biomedical retina machine learning deep learning
Online Access:	https://www.mdpi.com/2076-3417/13/18/10433

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