TABLE I. Details of 3D U-Net Architecture Used in Our Experiments.
| feature size | Encoder (G / T) | Decoder (D) | ||
|---|---|---|---|---|
| 1x56x160x192 | input | output | conv(1x1x1)-sigmoid | |
| 32x56x160x192 | conv1 | conv(1x3x3)-IN-LReLU | conv10 | conv(1x3x3)-IN-LReLU |
| 64x56x80x96 | down1 | strided conv(1,2,2) | up10 | transposed conv(1,2,2) - conv1 |
| 64x56x80x96 | conv2 | conv(3x3x3)-IN-LReLU | conv9 | conv(3x3x3)-IN-LReLU |
| 128x28x40x48 | down2 | strided conv(2,2,2) | up9 | transposed conv(2,2,2) - conv2 |
| 128x28x40x48 | conv3 | conv(3x3x3)-IN-LReLU | conv8 | conv(3x3x3)-IN-LReLU |
| 256x14x20x24 | down3 | strided conv(2,2,2) | up8 | transposed conv(2,2,2) - conv3 |
| 256x14x20x24 | conv4 | conv(3x3x3)-IN-LReLU | conv7 | conv(3x3x3)-IN-LReLU |
| 320x7x10x12 | down4 | strided conv(2,2,2) | up7 | transposed conv(2,2,2) - conv4 |
| 320x7x10x12 | conv5 | conv(3x3x3)-IN-LReLU | conv6 | conv(3x3x3)-IN-LReLU |
| 320x7x5x6 | down5 | strided conv(1,2,2) | up6 | transposed conv(1,2,2) - conv5 |
Note that the general encoder and target encoder are with the same architecture as shown in the left column.