Table 5.
A summary of the proposed models and training hyperparameters with best results.
| Dataset | Models | Loss function | Activation function | Classifier | Optimizer (lr:learning rate) | Batch | Epochs |
|---|---|---|---|---|---|---|---|
| Dataset 1 | WCL CheXNet | WCL | RELU | Softmax | Adam (lr 104) | 32 | 50 |
| SMOTE DenseNet201 | Categorical cross-entropy | RELU | Softmax | Adam (lr 104) | 8 | 72 | |
| Dataset 2 | WCL DenseNet201 | WCL | RELU | Softmax | Adam (lr 104) | 8 | 20 |
| SMOTE DenseNet201 | Categorical cross-entropy | RELU | Softmax | Adam (lr 104) | 8 | 50 | |
| Dataset 3 | WCL VGG19 | WCL | RELU | Softmax | Adam (lr 104) | 8 | 20 |
| SMOTE VGG19 | Categorical cross-entropy | RELU | Softmax | Adam (lr 104) | 8 | 50 | |