Research Article
[Retracted] Automated COVID-19 Classification Using Heap-Based Optimization with the Deep Transfer Learning Model
Table 2
Comparative analysis of the HBODTL-DC technique with existing approaches.
| Methods | Sensitivity | Specificity | Accuracy | Precision | F-score |
| DBHL | 0.9900 | 0.9800 | 0.9853 | 0.9800 | 0.9800 | DHL-2 | 0.9900 | 0.9700 | 0.9829 | 0.9700 | 0.9800 | DHL-1 | 0.9800 | 0.9800 | 0.9814 | 0.9800 | 0.9800 | ResNet-2 | 0.9700 | 0.9700 | 0.9721 | 0.9700 | 0.9700 | TL-ResNet-2 | 0.9800 | 0.9800 | 0.9814 | 0.9800 | 0.9800 | ResNet-1 | 0.9700 | 0.9700 | 0.9721 | 0.9700 | 0.9700 | TL-RENet-1 | 0.9700 | 0.9900 | 0.9806 | 0.9900 | 0.9800 | QSGOA-DL | 0.9972 | 0.9986 | 0.9979 | 0.9986 | 0.9979 | HBODTL-DC | 0.9983 | 0.9993 | 0.9992 | 0.9991 | 0.9987 |
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