Table 1.
Network parameters of the 3DMM-VggNet. Building blocks are shown in brackets with the numbers of blocks stacked. Downsampling is done using the max pooling. The stride size of the convolution operation is one. The symbol “*” indicates that there is no such operation
Layer name | SubNet-S | SubNet-M | SubNet-L |
---|---|---|---|
Input size | 16 × 16 × 16 × 2 | 32 × 32 × 32 × 2 | 48 × 48 × 48 × 2 |
3D-ConvBlock1 | [3 × 3 × 3, 64] × 2 | [3 × 3 × 3, 64] × 2 | [3 × 3 × 3, 64] × 2 |
3D-ConvBlock2 | [3 × 3 × 3, 64] × 2 | [3 × 3 × 3, 128] × 2 | [3 × 3 × 3, 128] × 2 |
3D-ConvBlock3 | * | [3 × 3 × 3, 128] × 2 | [3 × 3 × 3, 128] × 2 |
FC | 150 | 200 | 250 |
Output size | 8 × 8 × 8 | 8 × 8 × 8 | 12 × 12 × 12 |
Nodule probability | 2-d FC, softmax |