Performance metrics of the deep learning classifier for retinal vascular diseases on ultra-widefield colour fundus photographs
| Accuracy | AUC-ROC | Sensitivity | Specificity | Precision | F1 score | |
| Diabetic retinopathy | 85.2 | 90.5 | 67.6 | 92.4 | 83.1 | 75.4 |
| Retinal vein occlusion | 88.4 | 91.2 | 78.7 | 91.0 | 77.2 | 83.3 |
| Sickle cell retinopathy | 93.8 | 96.7 | 94.7 | 93.4 | 91.2 | 94.2 |
| Healthy controls | 86.2 | 88.5 | 67.2 | 92.3 | 77.8 | 72.3 |
Metrics are expressed as percentage (%).
AUC-PR, area under the precision-recall curve; AUC-ROC, area under receiver operating characteristics curve.