Fig. 2From: DNL-Net: deformed non-local neural network for blood vessel segmentationArchitecture of the main blocks; (a) SE block and (b) DNL block. The dimensions of the input feature maps are \(C \times H \times W\). ⊗ denotes matrix multiplication and \(\odot\) denotes broadcast element-wise multiplicationBack to article page