Closed hdnminh closed 6 months ago
Hi @HuCaoFighting
I hope you have a great last week of the year!
Can you explain your implemented dice loss:
def _dice_loss(self, score, target): target = target.float() smooth = 1e-5 intersect = torch.sum(score * target) y_sum = torch.sum(target * target) z_sum = torch.sum(score * score) loss = (2 * intersect + smooth) / (z_sum + y_sum + smooth) loss = 1 - loss return loss
Why are y_sum and z_sum calculated by square of target and score tensor, respectively? Following the formula, we just sum it basically without squaring itself.
If anyone cares this, you can read V-Net
Hi @HuCaoFighting
I hope you have a great last week of the year!
Can you explain your implemented dice loss:
Why are y_sum and z_sum calculated by square of target and score tensor, respectively? Following the formula, we just sum it basically without squaring itself.