Table 3.
Metrics of recognition capability according to image quality.
| Full | Half | Quarter | Square | P value | |
|---|---|---|---|---|---|
| Sensitivity | 0.88 ± 0.07 | 0.84 ± 0.10 | 0.77 ± 0.10 | 0.72 ± 0.10 | 0.0021 |
| Specificity | 0.71 ± 0.10 | 0.71 ± 0.12 | 0.82 ± 0.10 | 0.82 ± 0.09 | 0.022 |
| PPV | 0.76 ± 0.07 | 0.75 ± 0.08 | 0.82 ± 0.09 | 0.81 ± 0.09 | 0.19 |
| NPV | 0.87 ± 0.08 | 0.82 ± 0.09 | 0.79 ± 0.07 | 0.75 ± 0.07 | 0.016 |
| F1 | 0.81 ± 0.05 | 0.78 ± 0.05 | 0.79 ± 0.06 | 0.76 ± 0.07 | 0.17 |
| Accuracy | 0.80 ± 0.06 | 0.77 ± 0.05 | 0.79 ± 0.05 | 0.77 ± 0.06 | 0.59 |
| Loss | 1.50 ± 0.19 | 1.77 ± 0.28 | 1.48 ± 0.18 | 1.46 ± 0.22 | 0.0082 |
| AUC | 0.88 ± 0.04 | 0.87 ± 0.05 | 0.87 ± 0.05 | 0.85 ± 0.05 | 0.48 |
| Accuracy (training) | 0.91 ± 0.04 | 0.92 ± 0.04 | 0.86 ± 0.05 | 0.83 ± 0.06 | 0.0003 |
| AUC (training) | 0.98 ± 0.02 | 0.99 ± 0.02 | 0.95 ± 0.04 | 0.93 ± 0.05 | 0.0004 |
| Accuracy (validation) | 0.85 ± 0.06 | 0.81 ± 0.07 | 0.80 ± 0.07 | 0.79 ± 0.07 | 0.17 |
| AUC (validation) | 0.93 ± 0.05 | 0.92 ± 0.04 | 0.87 ± 0.07 | 0.85 ± 0.08 | 0.016 |