The rise of artificial intelligence is changing the shape of many different fields, and ophthalmic medicine is no exception. Convolutional neural networks (CNNs) have achieved remarkable results in the assisted diagnosis of ophthalmic diseases. However, they face challenges such as limited labeling and small dataset sizes. In recent years, self-supervised...

Non-mydriatic retinal color fundus photography (CFP) is widely used in clinical settings, primarily because it doesn’t require pupillary dilation. However, CFP has quality issues due to operator errors, imperfections and patient-related causes. Further, medical providers often have difficulty collecting paired low-high quality CFP. Most denoising...