TABLE VII. Results of the Baseline Classification Model With Segmentation, COVID-SDNet, Retrained COVIDNet-CXR-A and Retrained COVID-CAPS. Only Three Levels of Severity are Considered, Mild, Moderate and Severe.
| Class | N | P | Accuracy | ||||
|---|---|---|---|---|---|---|---|
| Metric | Specificity | Precision | F1 | Sensitivity | Precision | F1 | |
| COVIDNet-CXR | 83.42 15.39 |
69.73 10.34 |
74.45 8.86 |
61.82 22.44 |
79.50 11.47 |
65.64 15.90 |
72.62 7.6 |
| COVID-CAPS | 65.09 10.51 |
71.72 5.57 |
67.52 5.29 |
73.31 9.74 |
68.40 5.13 |
70.20 4.31 |
69.20 3.61 |
| With seg. | 80.57 8.72 |
78.68 6.57 |
78.97 3.20 |
76.80 10.15 |
80.70 5.56 |
78.01 4.29 |
78.69 3.00 |
| FuCiTNet | 82.63 6.61 |
79.94 4.28
|
81.05 3.44 |
78.91 5.88
|
82.43 5.43 |
80.37 3.16 |
80.77 3.15 |
| COVID-SDNet |
85.20 5.38
|
78.88 3.89 |
81.75 2.74
|
76.80 6.30 |
84.23 4.59
|
80.07 0.04
|
81.00 2.87
|


































