Semi-supervised generative adversarial learning for denoising adaptive optics retinal images
{{output}}
This study presents denoiseGAN, a novel semi-supervised generative adversarial network, for denoising adaptive optics (AO) retinal images. By leveraging both synthetic and real-world data, denoiseGAN effectively addresses various noise sources, including blur,... ...
