A Survey of Generative Adversarial Networks for Medical Images

Computer Modeling in Engineering & Sciences 2026 Open access

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Authors: Sameera V. Mohd Sagheer, U. Nimitha, P. M. Ameer, Muneer Parayangat, Mohamed Abbas, Krishna Prakash Arunachalam
DOI: 10.32604/cmes.2025.067108
Cited by: 0

Abstract

Over the years, Generative Adversarial Networks (GANs) have revolutionized the medical imaging industry for applications such as image synthesis, denoising, super resolution, data augmentation, and cross-modality translation.... | Find, read and cite all the research you need on Tech Science Press

Fields of Study & Subjects

Generative Adversarial Networks and Image Synthesis Artificial Intelligence in Healthcare and Education Advanced Image Processing Techniques

Publication details

Journal / source
Computer Modeling in Engineering & Sciences
Volume
146
Issue
2
Pages
1–10
Publication date
1 January 2026
Language
EN