Lesion detection and Grading of Diabetic Retinopathy via Two-stages Deep
Convolutional Neural Networks
Lesion detection and Grading of Diabetic Retinopathy via Two-stages Deep
Convolutional Neural Networks
We propose an automatic diabetic retinopathy (DR) analysis algorithm based on two-stages deep convolutional neural networks (DCNN). Compared to existing DCNN-based DR detection methods, the proposed algorithm have the following advantages: (1) Our method can point out the location and type of lesions in the fundus images, as well as …