Why could a multiclass dice loss function solve the class imbalance problem?

[yianzhongguo]

@FabianIsensee Hello, sir. I notice that in the paper of this method the class imbalacnce issue was disposed by formulating a multiclass dice loss function. I cannot figure it out why the loss function could play the role. Could you detailed it, thank you!

[FabianIsensee]

In crossentropy, each pixel has the same weight irrespective of the class. by using a Dice loss, the weight of a pixel is different. If the CE tumor is small for example, then false positives or false negatives will impact the dice loss more and will thus intrinsically be weighted more.

[yianzhongguo]

I have understood it from your answer, thank you very much!,