TABLE V. COVID-19 Classification Performance (%) of MINI Using Different Unterpolation Approaches for Information Fusion (SEN–Sensitivity, SPE–Specificity, ACC–Accuracy, AUC–Area Under Curve, P. T.–Processing Time for Interpolation, Neig.–Neighbor). Here, MINI Uses the Soft Labeling Strategy With 
.
| SEN | SPE | ACC | AUC |
|
P. T. | |
|---|---|---|---|---|---|---|
| Nearest neig. | 82.3 | 84.2 | 83.6 | 89.1 | 75.6 | 0.17 ms |
| Areal [48] | 84.0 | 86.3 | 85.6 | 91.6 | 78.2 | 0.20 ms |
| Trilinear | 86.6 | 87.3 | 87.1 | 92.8 | 80.6 | 0.22 ms |