Skip to main content
. Author manuscript; available in PMC: 2020 Apr 1.
Published in final edited form as: IEEE Trans Med Imaging. 2018 Oct 12;38(4):919–931. doi: 10.1109/TMI.2018.2875814

TABLE III:

The network architecture of the improved Zhang’s U-Net for sparsely-spaced landmarks

Layers applied Slice Size Number of feature
maps
Input 256 × 256 1
5 × 5 Convolution 256 × 256 32
5 × 5 Convolution 256 × 256 32
Max-pooling 128 × 128 32
5 × 5 Convolution 128 × 128 64
5 × 5 Convolution 128 × 128 64
Max-pooling 64 × 64 64
5 × 5 Convolution 64 × 64 128
5 × 5 Deconvolution 64 × 64 64
Upsampling + Copy 128 × 128 128
5 × 5 Deconvolution 128 × 128 64
5 × 5 Deconvolution 128 × 128 32
Upsampling + Copy 256 × 256 64
5 × 5 Deconvolution 256 × 256 32
5 × 5 Deconvolution 256 × 256 32
5 × 5 Deconvolution 256 × 256 21
Softmax 256 × 256 21