Table 4 Result comparison of different diagnosis methods on COVID-19 radiologist dataset: classifier with mask, only use classifier without SSN (W/O mask), and with SSN assistant classification (proposed), respectively
From: A deep adversarial model for segmentation-assisted COVID-19 diagnosis using CT images
Method | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|
With mask | 96.04% | 90.88% | 94.12% | 93.5% |
W/O mask | 95.06% | 87.97% | 93.09% | 90.46% |
Proposed | 99.2% | 98% | 96.0% | 97.96% |