Retina Vigil: Deep Learning-Enabled Retinopathy Detection for Early Disease Assessment

Significant vision loss is brought on by the common consequence of diabetes called diabetic retinopathy (DR). Effective management requires early diagnosis and intervention. This paper suggests using a pre-trained ResNet34 Convolutional Neural Network to automate the process of DR detection. This approach attempts to hasten diagnosis and treatment by combining deep learning with medical imaging. The model exhibits encouraging accuracy, suggesting that it has the potential to be used as a screening tool for early DR detection, improving patient outcomes and lessening the demand on healthcare resources.