When to use composite losses deep learning (image segmentation)?
I am wondering when composite losses such as Dice + Focal Loss, Dice + Cross-Entropy Loss, or Generalized Dice + Focal Loss are preferred to using regular Dice/CE Loss in training image segmentation algorithms.