Sameera V. Mohd Sagheer1,#,*, U. Nimitha2,#, P. M. Ameer2, Muneer Parayangat3, Mohamed Abbas3, Krishna Prakash Arunachalam4
CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.2, 2026, DOI:10.32604/cmes.2025.067108
- 26 February 2026
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. The objective of this review is to evaluate the advances, relevances, and limitations of GANs in medical imaging. An organised literature review was conducted following the guidelines of PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). The literature considered included peer-reviewed papers published between 2020 and 2025 across databases including PubMed, IEEE Xplore, and Scopus. The studies related to applications of GAN architectures in medical imaging with… More >