Table 2.

Network parameters of the 3DMM-ResNet. Building blocks are shown in brackets with the numbers of blocks stacked. Downsampling is performed using Max Pooling before the first layer of 3D-ResBlock1 and 3D-ResBlock2. 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-ConvBlock	[3 × 3 × 3, 96] × 2	[3 × 3 × 3, 64] × 2	[3 × 3 × 3, 32] × 2
3D-ResBlock1	$\left[\begin{array}{c}1\times 1\times 1,64\\ 3\times 3\times 3,64\\ 3\times 3\times 3,64\\ 1\times 1\times 1,128\end{array}\right]\times 5$	$\left[\begin{array}{c}1\times 1\times 1,48\\ 3\times 3\times 3,48\\ 3\times 3\times 3,48\\ 1\times 1\times 1,96\end{array}\right]\times 4$	$\left[\begin{array}{c}1\times 1\times 1,32\\ 3\times 3\times 3,32\\ 3\times 3\times 3,32\\ 1\times 1\times 1,64\end{array}\right]\times 3$
3D-ResBlock2	*	$\left[\begin{array}{c}1\times 1\times 1,64\\ 3\times 3\times 3,64\\ 3\times 3\times 3,64\\ 1\times 1\times 1,128\end{array}\right]\times 7$	$\left[\begin{array}{c}1\times 1\times 1,48\\ 3\times 3\times 3,48\\ 3\times 3\times 3,48\\ 1\times 1\times 1,96\end{array}\right]\times 6$
Output size	8 × 8 × 8	8 × 8 × 8	12 × 12 × 12
Nodule probability	Global average pooling, 2-d fc, softmax