Fig. 2.

3D U-net with dense blocks. The default kernel size for 3D convolution was 3 × 3 × 3, the growth rate of the dense block was 8, and the number of layers in the dense blocks varied for different levels indicated by an integer below the block. For each dense block, the final output went through a 1 × 1 × 1 3D convolution to reduce dimensions