Diabetic Retinopathy Detection

Diabetic Retinopathy Detection is a task that utilizes deep learning and image processing technologies to analyze colored fundus images, identifying and assessing the severity of retinopathy in diabetic patients. Its goal is to assist clinical doctors in formulating personalized treatment plans by early detection and accurate grading, thereby effectively preventing vision loss caused by diabetic retinopathy and improving the quality of life for patients.