EAD-Net: A Novel Lesion Segmentation Method in Diabetic Retinopathy Using Neural Networks

Figure 12

Detailed comparison of ground truth and predicted segmentations. Each row represents a kind of lesions. The last column represents the superimposed image of the first two images in the row. In red: ground truth areas; in blue: predicted lesions areas; in purple: the intersection of ground truth and prediction.