CoinCheung / pytorch-loss

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

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use on multi-label 3D medical image segmentation task?

xwjBupt opened this issue · comments

Hi, thanks for your outstanding work!

Can your losses, for example focal loss, be used on multi-label 3D medical image segmentation task?

thank you so much! Look forward of your reply~

Hi,

Focal loss would be fine, since it is point-wise loss, and each sample is considered as a binary classification problem. As for other losses, I am afraid that they are not designed for 3d operations, but you might try to reform your problem and see if the 3d loss can be expressed in a 2d form. Good luck !!

I am closing this. You can leave messages if you need further discussions.