Research Article
Deep Learning Algorithm for COVID-19 Classification Using Chest X-Ray Images
Table 2
Description of layers of the proposed method.
| | Layer’s name | Type/stride | Filter |
| | Input | Image input | — | | C1 | Convolution | Conv 32 | | C2 | Convolution | Conv 32 | | P1 | MaxPool | — | | D1 | Dropout | — | | C3 | Convolution | Conv 32 | | C4 | Convolution | Conv 32 | | P2 | MaxPool | — | | D2 | Dropout | — | | C5 | Convolution | Conv 64 | | C6 | Convolution | Conv 64 | | P3 | MaxPool | — | | D3 | Dropout | — | | C7 | Convolution | Conv 64 | | C8 | Convolution | Conv 64 | | P4 | MaxPool | — | | D4 | Dropout | — | | FC1 | Fully connected | | | F1 | Flatten | — | | FC2 | Fully connected | |
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