Fundus Photography

Fundus photography, the process of capturing images of the back of the eye, is crucial for diagnosing and monitoring various retinal diseases. Current research heavily focuses on improving image quality through advanced enhancement techniques, employing methods like Optimal Transport and Generative Adversarial Networks (GANs) to address issues such as low resolution and artifacts. These advancements, along with the development of new models for tasks like lesion segmentation and glaucoma detection using transformers and graph-based approaches, aim to improve diagnostic accuracy and facilitate automated analysis. Ultimately, these efforts contribute to earlier and more accurate disease detection, potentially leading to better patient outcomes and improved efficiency in ophthalmological care.