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Table 1 The structure of the 3D shortcut connection DCNN

From: Classification of lung nodules in CT scans using three-dimensional deep convolutional neural networks with a checkpoint ensemble method

Layer name Structure
convolution_1 7×7×7 conv3×3×3 max pool
convolution_2 \(\begin {bmatrix} 3 \times 3 \times 3 \text { conv} \\ 3 \times 3 \times 3 \text { conv} \end {bmatrix}\) ×2
convolution_3 \(\begin {bmatrix} 3 \times 3 \times 3 \text { conv} \\ 3 \times 3 \times 3 \text { conv} \end {bmatrix}\) ×2
convolution_4 \(\begin {bmatrix} 3 \times 3 \times 3 \text { conv} \\ 3 \times 3 \times 3 \text { conv} \end {bmatrix}\) ×2
convolution_5 \(\begin {bmatrix} 3 \times 3 \times 3 \text { conv} \\ 3 \times 3 \times 3 \text { conv} \end {bmatrix}\) ×2
  7×7×7 avg pool1000-d FCsoftmax