Research Article
Computer-Aided Diagnosis of COVID-19 CT Scans Based on Spatiotemporal Information Fusion
Table 5
The test result of the 10 datasets.
| Data | Test | AUC (95%CI) | Pre (95%CI) | Rec (95%CI) | F1 |
| Dataset1 | X4X5 | 93.8 ± 3.0 | 95.2 ± 2.7 | 95.9 ± 2.5 | 0.955 | Dataset2 | X3X5 | 95.0 ± 2.7 | 98.1 ± 1.7 | 94.6 ± 2.8 | 0.963 | Dataset3 | X3X4 | 95.5 ± 2.6 | 96.4 ± 2.3 | 97.0 ± 2.1 | 0.967 | Dataset4 | X2X5 | 93.0 ± 3.2 | 96.9 ± 2.2 | 92.8 ± 3.3 | 0.948 | Dataset5 | X2X4 | 94.7 ± 2.8 | 95.8 ± 2.5 | 96.4 ± 2.3 | 0.961 | Dataset6 | X2X3 | 92.6 ± 3.3 | 96.8 ± 5.5 | 92.2 ± 3.3 | 0.944 | Dataset7 | X1X5 | 95.0 ± 2.7 | 96.4 ± 2.3 | 96.4 ± 2.3 | 0.964 | Dataset8 | X1X3 | 96.3 ± 2.7 | 97.6 ± 2.3 | 97.0 ± 2.3 | 0.973 | Dataset9 | X1X2 | 94.7 ± 2.4 | 97.5 ± 1.9 | 94.6 ± 2.1 | 0.960 | Dataset10 | X1X4 | 95.1 ± 2.8 | 96.4 ± 2.0 | 96.4 ± 2.8 | 0.964 | Avg. | | 94.6 ± 2.8 | 96.7 ± 2.2 | 95.3 ± 2.7 | 0.960 |
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