Figure 7
From: Unfolded deep kernel estimation-attention UNet-based retinal image segmentation
Architecture showing output obtained from the average of all refined images from attention features that are extracted from the feature attention module after concatenation and convolution of input feature maps obtained as the output of UNet module that performs dropout, udke, and atrous attention module to extract features from preprocessed input retinal image.
