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Thanks for a great paper about clDice.
I am a newbie who just started deep learning. I want to add clDice as the loss function of the network. How should I implement it? Besides, Can it be combined with other loss functions?
The text was updated successfully, but these errors were encountered:
Hi thanks for reaching out. I am nor sure I understand your question, you can use our implementation straight forward as your loss. As described in detail in our paper you can combine clDice with many other loss functions, e.g. BCE, MAE or Dice. We usually use simple linear weighting for this. This is also implemented in the soft_dice_cldice class in our code. For details and experiments how the alpha parameter influences the training please see our paper (and supplementary material).
Thanks for a great paper about clDice.
I am a newbie who just started deep learning. I want to add clDice as the loss function of the network. How should I implement it? Besides, Can it be combined with other loss functions?
The text was updated successfully, but these errors were encountered: