A total of 15,153 samples are used in this work. These samples include chest X-ray images of COVID-19, viral pneumonia, and normal cases. The entire dataset was split into train and test sets, with a ratio of 80:20 before training the model. To enhance important image features, image preprocessing and augmentation were applied before feeding the image batches to the model.
| Testing Result | |
|---|---|
| Test Implementation Name | Test Accuracy |
| CNN Implementation - 1 | 0.8780487775802612 |
| CNN Implementation - 2 | 0.9451219439506531 |
| Transfer_Learning_Implementation - 3 | 0.957317054271698 |
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