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. Author manuscript; available in PMC: 2022 Feb 1.
Published in final edited form as: Med Image Anal. 2020 Oct 14;68:101856. doi: 10.1016/j.media.2020.101856

Fig. 4.

Fig. 4.

Detailed network structure of res-unet, conv-m, and conv-s shown schematically in Fig. 3. The res-unet is a residual U-Net with four downsamplings and four upsamplings which consists of the residual blocks (each has three 3 × 3 convolutions, a parametric ReLU, and a batch normalization). Two output branches (conv-m, conv-s) consist of a residual block and a 1 × 1 final output layer.