TABLE 8.
Comparison of classic papers.
| Method | Dataset | ACC | SEN | PRE | SPE |
|---|---|---|---|---|---|
| IRCM‐Cap | 450 COVID‐19, 450 VP, 450 normal | 0.9911 | 0.9888 | 0.9866 | 0.9845 |
| 450 COVID‐19, 450 VP | 0.9900 | 1 | |||
| DeCoVNet 22 | 313 COVID‐19, 229 non‐COVID‐19 | 0.9590 | 0.9070 | 0.9110 | |
| VSBN 23 | 125 COVID‐19, 123 CAP, 134 SPT, 139 normal | 0.95 above | 0.95 above | ||
| COVNet 24 | 1292 COVID‐19, 1735 CAP, 1325 normal | 0.9600 | 0.900 | 0.9600 | |
| ResNet50 25 | 341 COVID‐19, 2772 BP, 1493 VP, 2800 normal | 0.9610 | 0.765 | 0.9660 | |
| COVID‐Net 26 | COVID‐chestxray, pneumonia‐chestxray | 0.8350 | 1 | 0.800 | |
| DenseNet121 26 | 924 COVID‐19, 342 non‐COVID‐19 | 0.8700 | 0.8000 | ||
| SVM 28 | 53 CT images | 0.9827 | 0.9893 | 0.9760 | |
| VGG19 29 | 102 COVID‐19, 118 normal | 0.9500 | 0.9600 | 0.9600 | |
| DLM 30 | 1252 COVID‐19 and 1230 non‐COVID‐19 | 0.9891 | 0.9896 | 0.9888 | 0.9886 |
| HTV 31 | 2250 COVID‐19, 2250 pneumonia, 2250 normal | 0.9656 | 0.9514 | ||
| ChestX‐ray6 32 | 9514 X‐ray images | 0.9794 | |||
| Dense‐CNN 32 | 273 COVID‐19 and 225 non‐COVID‐19 | 0.9378 | 0.9340 | 0.9510 | 0.9420 |
Note: Bold font is the optimal value for each column.