Research Article
An Efficient CNN Model for COVID-19 Disease Detection Based on X-Ray Image Classification
| Parameter | Value |
| Input dimension | (150, 150, 3) | Filter to learn | 64, 128, 256 | Max pooling | 2 × 2 | Batch normalization | Axis = −1 | Activation functions | ReLU, sigmoid | Dropout rate | 20% | Kernel size | 3 × 3 | Epochs | 50 | Optimizer | Adam | Loss function | binary_crossentropy |
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