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

Table 1 The structure of the 3D shortcut connection DCNN

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

ISSN: 1471-2342