Research Article
[Retracted] Lung Disease Classification in CXR Images Using Hybrid Inception-ResNet-v2 Model and Edge Computing
Table 3
Performance comparison of different models.
| Model | Class | Accuracy | Precision | Recall | F1-SCORE |
| Custom | COVID-19 class | 0.99 | 0.99 | 0.99 | 0.99 | Viral pneumonia class | 0.99 | 0.99 | 0.99 | 0.99 | Normal class | 0.98 | 0.99 | 0.98 | 0.98 |
| VGG19 | COVID-19 class | 0.98 | 0.98 | 0.99 | 0.98 | Viral pneumonia class | 0.89 | 0.90 | 0.89 | 0.89 | Normal class | 0.88 | 0.88 | 0.88 | 0.88 |
| ResNet50 | COVID-19 class | 0.87 | 0.87 | 0.87 | 0.88 | Viral pneumonia class | 0.92 | 0.93 | 0.92 | 0.92 | Normal class | 0.92 | 0.93 | 0.92 | 0.92 |
| MobileNetV2 | COVID-19 class | 0.79 | 0.79 | 0.80 | 0.79 | Viral pneumonia class | 0.75 | 0.75 | 0.75 | 0.75 | Normal class | 0.74 | 0.74 | 0.76 | 0.75 |
| SqueezeNet | COVID-19 class | 0.98 | 0.98 | 0.98 | 0.98 | Viral pneumonia class | 0.96 | 0.96 | 0.98 | 0.97 | Normal class | 0.98 | 0.98 | 0.98 | 0.98 |
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