Fundus To Angiography Generation

In the field of computer vision, the task of Fundus to Angiography Generation utilizes Generative Adversarial Networks (GANs) to generate Fluorescein Angiography images from retinal fundus images. This aims to improve the accuracy and efficiency of retinal disease diagnosis and reduce reliance on invasive examinations, which holds significant clinical application value.