Super-Resolution of Medical Images with GANs: A Survey
Super-resolution is a technique that enhances image quality by transforming lowresolution images into high-resolution representations. In medical imaging, image quality plays a crucial role in early diagnosis and clinical workflow efficiency. However, due to hardware limitations, low-dose acquisition requirements, and patient motion, medical images often suffer from significant information loss. This study presents a comprehensive review of image super-resolution methods based on Generative Adve
