Table 2 Key performance metrics of the classification model.
From: A generalised computer vision model for improved glaucoma screening using fundus images
Classification Metrics | Glaucoma (n = 1381) Mean, [95% CI] | Healthy (n = 2030) Mean, [95% CI] |
|---|---|---|
AUROC | 0.9920, [0.9920, 0.9921] | 0.9920, [0.9920, 0.9921] |
Accuracy | 0.9671, [0.9670, 0.9672] | 0.9671, [0.9671, 0.9672] |
Sensitivity (Recall) | 0.9530, [0.9528, 0.9532] | 0.9768, [0.9767, 0.9769] |
Specificity | 0.9768, [0.9767, 0.9769] | 0.9530, [0.9529, 0.9532] |
Precision | 0.9654, [0.9652, 0.9656] | 0.9683, [0.9682, 0.9684] |
F1-score | 0.9592, [0.9591, 0.9593] | 0.9725, [0.9724, 0.9725] |
