Research Article
SCRD-Net: A Deep Convolutional Neural Network Model for Glaucoma Detection in Retina Tomography
Table 1
Comparison of our model with state-of-the-art network models.
| Method | ACC | AUC | 0.05-SE | 0.15-SE | SE |
| Traditional | MRA [7] | — | — | — | 0.650 | — | GPS [8] | — | 0.800 | 0.420 | 0.610 | — | SAS [9] | — | 0.890 | 0.590 | 0.770 | — |
| Deep learning | Googlenet [51] | 0.860 | 0.925 | 0.694 | 0.857 | 0.846 | Resnet [54] | 0.846 | 0.895 | 0.635 | 0.835 | 0.862 | Densnet [55] | 0.857 | 0.925 | 0.590 | 0.895 | 0.851 | Vgg-16 [56] | 0.859 | 0.913 | 0.698 | 0.888 | 0.808 | Alexnet [57] | 0.843 | 0.896 | 0.644 | 0.813 | 0.879 | Efficientnet [60] | 0.858 | 0.929 | 0.612 | 0.924 | 0.898 |
| Ours | SCRD-Net | 0.884 | 0.940 | 0.783 | 0.912 | 0.910 |
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