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Table 6 The DenseNet-201 architectures

From: Rapid identification of COVID-19 severity in CT scans through classification of deep features

Layers

Output size

DenseNet-201

Convolution

112 × 112 × 64

7 × 7 conv, stride 2, padding 3

Pooling

55 × 55 × 64

3 × 3 maxpool, stride 2, padding 1

Dense block

(1)

55 × 55 × 32

\(\left[ {\begin{array}{*{20}c} { 1\times 1 {\text{conv, stride 1, padding 0}}} \\ { 3\times 3 {\text{conv, stride 1, padding 1}}} \\ \end{array} } \right] \times 6\)

Transition layer

(1)

55 × 55 × 128

1 × 1 conv, stride 1, padding 0

26 × 26 × 128

2 × 2 average pool, stride 2, padding 0

Dense block

(2)

26 × 26 × 32

\(\left[ {\begin{array}{*{20}c} { 1\times 1 {\text{conv, stride 1, padding 0}}} \\ { 3\times 3 {\text{conv, stride 1, padding 1}}} \\ \end{array} } \right] \times 1 2\)

Transition layer

(2)

26 × 26 × 256

1 × 1 conv, stride 1, padding 0

13 × 13 × 256

2 × 2 average pool, stride 2, padding 0

Dense block

(3)

11 × 11 × 32

\(\left[ {\begin{array}{*{20}c} { 1\times 1 {\text{conv, stride 1, padding 0}}} \\ { 3\times 3 {\text{conv, stride 1, padding 1}}} \\ \end{array} } \right] \times 4 8\)

Transition layer

(3)

11 × 11 × 896

1 × 1 conv, stride 1, padding 0

5 × 5 × 896

2 × 2 average pooling stride 2, padding 0

Dense block

(4)

5 × 5×32

\(\left[ {\begin{array}{*{20}c} { 1\times 1 {\text{conv, stride 1, padding 0}}} \\ { 3\times 3 {\text{conv, stride 1, padding 1}}} \\ \end{array} } \right] \times 3 2\)

Classification layer

 

7 × 7 global average pool

 

1000D fully connected (FC-1000), softmax