Fig. 4From: U-Net combined with multi-scale attention mechanism for liver segmentation in CT imagesThe proposed AASPP. Here, H, W, and C respectively represent the resolution height, width, and number of channels of the input feature maps. The yellow square represents the convolution operation (k represents the size of the convolution kernel, f represents the number of convolution kernels, and r represents the dilated factor). © represents the feature concatenate operationBack to article page