Table 2.
Statistics of diagnosis efficiency of FEBrNet-recommended frames and other frame sets
| Modality | AUC (95%CI) | Cut-off | Sensitivity (%) | Specificity (%) | Accuracy (%) | p value |
|---|---|---|---|---|---|---|
| R_Frames | 0.912 (0.888–0.936) | 0.416 | 84.4 | 87.4 | 86.2 | NA |
| Phy_Images | 0.909 (0.884–0.935) | 0.401 | 87.8 | 84.0 | 85.3 | 0.715 |
| Fix_Frames | 0.852 (0.821–0.883) | 0.490 | 75.6 | 79.9 | 78.2 | 0.000 |
| All_Frames | 0.881 (0.852–0.910) | 0.436 | 76.4 | 89.7 | 84.3 | 0.002 |
| Ultrasound | 0.820 (0.788–0.853) | NA | 98.7 | 65.3 | 79.6 | 0.000 |
| Mammography | 0.796 (0.759–0.833) | NA | 92.1 | 67.1 | 77.8 | 0.000 |
Note: AUC: area under the curve; 95% CI: 95% confidence interval; R_Frames: responsible frame; Phy_Images: doctor frame selection; Fix_Frames: fixed interval frame selection; All_Frames: all frames of video; Ultrasound: Diagnosis by senior ultrasound doctors; Mammography: Diagnosis by senior mammography doctors; p: R Frames vs. others; NA: Not Applicable.