Closed aschuh-hf closed 1 year ago
The bending_loss multiplies the mixed partial derivatives with a factor of two before taking the square.
bending_loss
https://github.com/BioMedIA/deepali/blob/ea3c16d1217877592dc68756f8d78c4363c2c5c5/src/deepali/losses/functional.py#L1210-L1214
The factor 2 should however just account for the missing squared partial derivative term, which is not included in the return value of the spatial_derivatives() function because these two terms are expected to have equal value.
spatial_derivatives()
The
bending_lossmultiplies the mixed partial derivatives with a factor of two before taking the square.https://github.com/BioMedIA/deepali/blob/ea3c16d1217877592dc68756f8d78c4363c2c5c5/src/deepali/losses/functional.py#L1210-L1214
The factor 2 should however just account for the missing squared partial derivative term, which is not included in the return value of the
spatial_derivatives()function because these two terms are expected to have equal value.