Medical imaging plays a crucial role in diagnosing and treating diseases. Yet, challenges such as image quality, radiation exposure, and data scarcity often limit its effectiveness. Generative Adversarial Networks (GANs) offer promising solutions by enhancing image quality, generating realistic synthetic data, and adapting imaging modalities. This post explores how GANs transform MRI, CT, and digital pathology, highlighting key applications and innovations. Brain MRI scan enh