18 April 2026 : Clinical Research
Use of Deep Learning Models in the Diagnosis of Proptosis Through Orbital Magnetic Resonance Imaging
Uğur Kesimal ABCDEF 1*, Habip Eser Akkaya ABCDEF 2, Önder Polat ABCDEF 1, Murat Sağlam ABCDEF 1DOI: 10.12659/MSM.951157
Med Sci Monit 2026; 32:e951157
Table 3 Per-fold AUC values and 95% CIs estimated via non-parametric bootstrapping.
| DenseNet121 | DenseNet169 | DenseNet264 | ResNet50 | |
|---|---|---|---|---|
| Fold 1 (%) | 98.44 | 98.26 | 95.90 | 97.79 |
| Fold 2 (%) | 99.24 | 98.95 | 98.66 | 99.02 |
| 98.85 | 98.93 | 99.45 | 94.21 | |
| Fold 4 (%) | 98.56 | 96.82 | 96.56 | 96.12 |
| Fold 5 (%) | 98.11 | 98.45 | 99.41 | 93.68 |
| 95% CI | 98.33–99.00 | 97.57–98.84 | 96.60–99.26 | 94.38–97.95 |
| All values indicate percentage. AUC – area under the receiver operating characteristic curve. | ||||






