Table 5.
Comparison with other, state of the art models.
Reference | Model name | 3 class accuracy | 3 class F1 score | 2 class accuracy |
---|---|---|---|---|
[22] | COVIDiagnosis-Net | 0.9833 | 0.9833 | N/A |
[23] | CoroNet | 0.896 | 0.896 | .99 |
[24] | ResNet-50 + DCNN | N/A | N/A | .93 |
[48] | COVID-Net | 0.933 | 0.90 | N/A |
[29] | DarkCovidNet | 0.8702 | 0.8737 | .98 |
[49] | MobileNet v2 | 0.9472 | N/A | 96.78 |
[33] | CovidAID | 0.923 | 0.905 | N/A |
Proposed Model | InstaCovNet-19 | 0.9908 | 0.99 | .9952 |
**N/A: Authors did not perform the specified classification.