Fig. 2
From: U-Net combined with multi-scale attention mechanism for liver segmentation in CT images
The proposed MSRB. Here, H, W, and C respectively represent the resolution height, width, and number of channels of the input feature maps. C′ represents the number of channels for output feature maps. The yellow square represents the convolution operation (where k represents the size of the convolution kernel, f represents the number of convolution kernels, and ×2 represents the convolution operation repeated twice), © represents the feature concatenation operation. \(\oplus\) represents the point-by-point addition operation. The red arrow represents the DropBlock operation