Fig. 4
From: Prior-guided attention fusion transformer for multi-lesion segmentation of diabetic retinopathy
Visualized segmentation results of our model on (a) the DDR dataset and (b) the IDRiD dataset compared with other state-of-the-art models including UNet, DeepLabV3+, UNet++, CE-Net, PSPNet, where EXs, HEs, MAs and SEs are marked in red, green, blue and yellow, respectively. The white arrows indicate the differences between the predictions of all the models and the ground truth (GT).
