nCBF low- vs high-grade thresholds and ROC analysis results
| Team/Entry No. | Software | LG vs HG (P Value) | Threshold | SN | SP | AUC |
|---|---|---|---|---|---|---|
| A5 | IB Neuro | 2.90E-05 | 1.815 | 0.806 | 0.846 | 0.861 |
| B5 | IB Neuro | 2.38E-05 | 1.555 | 0.917 | 0.769 | 0.864 |
| C2 | IB Neuro | 3.82E-06 | 1.415 | 0.944 | 0.769 | 0.880 |
| B6 | Matlab | 2.61E-04 | 2.045 | 0.722 | 0.846 | 0.814 |
| D4 | nordicICE | 9.81E-06 | 1.255 | 0.972 | 0.769 | 0.868 |
| D5 | nordicICE | 3.03E-05 | 1.580 | 0.861 | 0.846 | 0.866 |
| E7 | PGUI | 1.30E-04 | 1.575 | 0.806 | 0.846 | 0.846 |
| E8 | PGUI | 3.85E-05 | 1.375 | 0.917 | 0.692 | 0.845 |
| E9 | PGUI | 1.67E-04 | 1.460 | 0.833 | 0.769 | 0.812 |
| E10 | PGUI | 7.86E-03 | 1.920 | 0.639 | 0.692 | 0.658 |
| D6 | Slicer | 1.04E-06 | 1.405 | 0.944 | 0.769 | 0.887 |
| F2 | FIAT | 2.65E-04 | 1.460 | 0.861 | 0.769 | 0.816 |
Note:—AUC indicates area under the curve; LG, low-grade; HG, high-grade.