Retina Model

Retina modeling focuses on creating computational representations of the retina's function, aiming to improve image processing, disease diagnosis, and robotic surgery. Current research emphasizes developing advanced neural network architectures, including vision-language foundation models and diffusion models, for tasks such as image registration, low-light image restoration, and automated disease detection from retinal images. These models show promise in enhancing clinical workflows, improving the accuracy of diagnoses, and enabling more precise and effective ophthalmic procedures. The ultimate goal is to develop more accurate and efficient tools for understanding and treating retinal diseases and improving vision.