Dice Loss
Loss function based on Dice coefficient, commonly used for segmentation tasks.
In italiano: Dice LossMeasures overlap between predicted and ground truth masks. Range 0-1. Handles class imbalance better than cross-entropy for segmentation.
Examples
- Medical image segmentation
- Semantic segmentation
- Binary masks