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 |