Generative Adversarial Networks in Dermatology: A Narrative Review of Current Applications, Challenges, and Future Perspectives

Generative Adversarial Networks (GANs) have emerged as powerful tools in artificial intelligence (AI) with growing relevance in medical imaging. In dermatology, GANs are revolutionizing image analysis, enabling synthetic image generation, data augmentation, color standardization, and improved diagno...

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Bibliographic Details

Published in:	Bioengineering
Main Authors:	Rosa Maria Izu-Belloso, Rafael Ibarrola-Altuna, Alex Rodriguez-Alonso
Format:	Article
Language:	English
Published:	MDPI AG 2025-10-01
Subjects:	GAN dermatology synthetic images artificial intelligence StyleGAN deep learning
Online Access:	https://www.mdpi.com/2306-5354/12/10/1113