Context-Aware Optimal Transport Learning for Retinal Fundus Image
Enhancement
Context-Aware Optimal Transport Learning for Retinal Fundus Image
Enhancement
Retinal fundus photography offers a non-invasive way to diagnose and monitor a variety of retinal diseases, but is prone to inherent quality glitches arising from systemic imperfections or operator/patient-related factors. However, high-quality retinal images are crucial for carrying out accurate diagnoses and automated analyses. The fundus image enhancement is typically …