Research Article
COVID-19 Classification from Chest X-Ray Images: A Framework of Deep Explainable Artificial Intelligence
Table 4
Proposed framework COVID-19 classification results on Chest X-ray dataset.
| Classifiers | Features | Measures | EffNet | VGG19 | SL EffNet | SL VGG19 | Proposed | Accuracy (%) | Time (%) |
| Softmax | ✓ | | | | | 86.3 | 94.8453 | | ✓ | | | | 85.4 | 96.0985 | | | ✓ | | | 91.6 | 69.3345 | | | | ✓ | | 90.2 | 69.5884 | | | | | ✓ | 95.8 | 53.9484 |
| Naïve Bayes | ✓ | | | | | 84.2 | 89.2322 | | ✓ | | | | 85.7 | 85.9505 | | | ✓ | | | 88.3 | 57.2754 | | | | ✓ | | 89.6 | 62.9576 | | | | | ✓ | 93.4 | 59.2328 |
| MCSVM | ✓ | | | | | 85.6 | 88.5445 | | ✓ | | | | 85.0 | 86.6544 | | | ✓ | | | 89.9 | 62.8432 | | | | ✓ | | 90.0 | 67.4454 | | | | | ✓ | 94.8 | 53.4935 |
| ELM | ✓ | | | | | 87.8 | 74.5563 | | ✓ | | | | 84.1 | 71.0054 | | | ✓ | | | 93.4 | 54.5374 | | | | ✓ | | 92.8 | 51.0588 | | | | | ✓ | 96.7 | 43.2084 |
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