An Automated Diagnosis of Diabetic Retinopathy Grading Using DenseNet169

The significant contribution of the rapid and accurate DR detection and evaluation method proposed in this article is: 1) a rapid grading method to solve DR detection problems, and 2) the proposed method can effectively and accurately assist in completing DR screening by helping to automate DR detection and evaluation. This verifies that the proposed method can be used for large-scale DR medical imaging screening, effectively assisting doctors in achieving efficient diagnosis.