Research Article
Ensemble Framework of Deep CNNs for Diabetic Retinopathy Detection
| Models | Imbalance acc. | Balance acc. | Recall | Specificity |
| Batch_size_2 | 77.00 | 60.44 | 48.36 | 85.40 | Batch_size_3 | 77.40 | 61.62 | 49.87 | 84.98 | Batch_size_4 | 77.78 | 60.41 | 46.33 | 85.48 | Model 1 | 78.13 | 60.80 | 44.85 | 84.43 | DenseNet-121 | 78.08 | — | 49.80 | 85.93 | ResNet50 | 77.28 | — | 45.14 | 84.8 | Inception-V3 | 71.25 | — | 48.17 | 84.54 | Xception | 74.41 | — | 46.26 | 84.61 | Dense169 | 73.91 | — | 47.58 | 84.85 | Pratt et al.’s [20] model | 75.00 | — | 30.00 | 95.00 | Model 2 | 80.36 | 60.89 | 47.70 | 85.94 |
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