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JunMa11 avatar JunMa11 commented on July 18, 2024

Hi, @shijianjian
I do not implement the erosion-based HD loss.
I only use the DTM-based HD loss in my repo.

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shijianjian avatar shijianjian commented on July 18, 2024

Isn't this the erosion based HD loss?

https://github.com/JunMa11/SegLoss/blob/master/losses_pytorch/hausdorff.py#L83-L173

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JunMa11 avatar JunMa11 commented on July 18, 2024

Oh, I apologize for the inconvenience.

The erosion-based HD loss was copied from https://github.com/SilmarilBearer/HausdorffLoss and I have not tested it.

https://github.com/JunMa11/SegLoss/blob/71b14900e91ea9405d9705c95b451fc819f24c70/losses_pytorch/hausdorff.py#L15

I would recommend raising an issue in the original repo.

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lucafei avatar lucafei commented on July 18, 2024

is the HausdorffDLoss possible for multi class segmentation?

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shijianjian avatar shijianjian commented on July 18, 2024

@JunMa11 Sure.

@lucafei It worked in multi-label segmentation from BCHW to BCHW.

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CheeseInTrap avatar CheeseInTrap commented on July 18, 2024

Hi, I wonder why there is no normalize operation when calculating edt in HausdorffDTLoss, the loss value may be too large

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