Table 3.
The Results of Models Trained and Validated on the SIG Data Set
| Method | Accuracy | Sensitivity | Specificity | AUC |
|---|---|---|---|---|
| DenseNet-201 | 0.8590 | 0.1786 | 0.8905 | 0.6434 |
| EfficientNetB0 | 0.6846 | 0.2143 | 0.7065 | 0.5288 |
| MobileV2 | 0.1284 | 0.8571 | 0.0945 | 0.6040 |
| ResNet-50 | 0.6958 | 0.3571 | 0.7114 | 0.5704 |
| POAGNet (absolute distance) | 0.8130 | 0.3214 | 0.8358 | 0.6774 |
| POAGNet (w/o side output) | 0.8336 | 0.2857 | 0.8590 | 0.6972 |
| POAGNet | 0.9176 | 0.1786 | 0.9519 | 0.7518 |
AUC = area under the curve; POAG = primary open-angle glaucoma; SIG = Sequential fundus Images for Glaucoma.