A Perspective Review of Generative Adversarial Network in Medical Image Denoising

This review article discusses using Generative Adversarial Networks (GANs) for image denoising in medical images. GANs have produced optimistic results in enhancing the quality of noisy medical images, which is crucial for accurate diagnosis and treatment. The article provides an overview of the challenges in medical image denoising and the working principle of GANs. The review also summarizes the recent research on using GANs for medical image denoising and compares their performance and significance. Finally, the article discusses the future directions for GAN-based medical image denoising and its potential impact on the healthcare industry.