Table 1.
Details of each model, including sample size, selected networks, and hyperparameters.
| Parameters | Model 1 | Model 2 | Model 3 |
|---|---|---|---|
| Aim of recognition | Healthy vs. keratitis | Fungal vs. bacterial keratitis | Aspergillus/Fusarium vs. Candida keratitis |
| Classes | |||
| Class 0 (number of samples) | Healthy (2505) | Fungal keratitis (2008) | Aspergillus/Fusarium keratitis (1643) |
| Class 1 (number of samples) | Keratitis (6824) | Bacterial keratitis (4816) | Candida keratitis (357) |
| Value of K (K-fold cross-validation) | 5 | 5 | 5 |
| Training:validation:evaluation ratio (%) | 72:8:20 | 72:8:20 | 72:8:20 |
| Loss weight of class 0 | 1 | 1.5 | 1 |
| Loss weight of class 1 | 1 | 1 | 25 |
| Batch size | 20 | 15 | 15 |
| Number of epochs | 75 | 150 | 250 |
| Learning algorithm | Adam | Adam | Adam |
| Initial learning rate | 0.0001 | 0.001 | 0.0001 |
| Loss function | Binary cross entropy | Binary cross entropy | Binary cross entropy |