Research Article
Remote Diagnosis and Triaging Model for Skin Cancer Using EfficientNet and Extreme Gradient Boosting
Table 3
Summary of the proposed model.
| Layer (type) | Output shape | Parameters |
| Input layer | 300, 300, 3 | 0 | EfficientNetB3 (model) | 10, 10, 1,536 | 10,783,528 | Global_average_pooling2D | 1,536 | 0 | Dropout_2 | 1,536 | 0 | Dense_2 | 128 | 196,736 | Dropout_3 | 128 | 0 | Dense_3 | 64 | 8,256 | Dense_4 | 6 | 390 | Total parameters | — | 10,988,910 | Trainable parameters | — | 10,901,614 | Nontrainable parameters | — | 87, 296 |
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