Unet based hybrid quantum-classical generative adversarial network for medical image denoising
Medical images are highly susceptible to noise during the image acquisition process that will adversely affect the diagnosis accuracy. There are lots of classical methods available for denoising but they often struggle with the complex and high noise and over smooth the anatomical structures cause loss of fine details...