DiceLoss

link: https://en.wikipedia.org/wiki/S%C3%B8rensen%E2%80%93Dice_coefficient range: (not similar at all) [0, 1] (the two sets are the same)

summary

Dice Loss = 1 - 2 * (intersection of predicted and true) / (sum of predicted + sum of true)

This based on the Dice similarity coefficient:

$$DSC=\frac{2|X\cap Y|}{|X|+|Y|}$$

• Where X and Y are two sets
• This loss is typically used for image segmentation problems
• this looks similar to the F-score: ````
• F1 = 2 * (Precision * Recall) / (Precision + Recall)

pros

Cons