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. 2020 Jun 30;33(5):1242–1256. doi: 10.1007/s10278-020-00372-8

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