TABLE II. Summary of Related Works That Analyze Variations of COVIDx With CNN.
| Ref. | Classes | Datasets | Model | Partition | Sens. | Acc. |
|---|---|---|---|---|---|---|
| [16] | Normal, Pneumonia, COVID | COVIDx 1.0 | COVIDNet | 98% - 2% | 87.1% | 92.6% |
| [19] | Normal, COVID | COVIDx 1.0 | COVID-CAPS | 98% - 2% | 90% | 95.7% |
| ([20]) | No-Findings, COVID | [7] + [13] | DarkCovidNet | 5-FCV | 90.65% | 98.08% |
| No-Findings, Pneumonia, COVID | 5-FCV | 97.9% | 87.02% | |||
| [21] | Normal, Pneumonia, COVID | COVIDx 2.0+[12] | VGG-19 + DenseNet-161 | 70% - 30% | 93% | 96.77% |
| [22] | Normal, Bacterial, Viral, COVID | [7]+[12] | Bayesian ResNet50V2 | 80% - 20% | 85.71% | 89.82% |
| ([23]) | Normal, Pneumonia, COVID | [7] + [12]+ other sources | MobileNet | 10-FCV | 98.66% | 96.78% |