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Hey :D
I stumbled upon your code while looking up rising transforms!
I think the soft dice score in losses.soft_dice.py should return 1 - torch.mean(frac, dims=1)
instead of just taking the mean so the optimizer can minimize it to zero.
Or is there another reason that it is implemented that way?
Cheers!
The text was updated successfully, but these errors were encountered:
Hey :D
I stumbled upon your code while looking up rising transforms!
I think the soft dice score in
losses.soft_dice.py
should return1 - torch.mean(frac, dims=1)
instead of just taking the mean so the optimizer can minimize it to zero.
Or is there another reason that it is implemented that way?
Cheers!
The text was updated successfully, but these errors were encountered: