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Detail of U-Net training parameters.
| Parameter | Value |
|---|---|
| Learning rate | 0.0001 |
| Optimizer | Adam |
| Function loss | BCE |
| Data augmentation | Vertical and horizontal flip, brightness, saturation, contrast and blurring adjustments |
| Maximum training iterations | 100 |
| Best performace iteration | 33 |
| Training/validation samples (HAM10000 dataset) | 2340 |
| Testing samples 1 (HAM10000 dataset) | 987 |
| Testing samples 2 (UdeC dataset) | 144 |
