Hi,
I’m new to PyTorch and I’m doing a segmentation work.
My dataset is in 3D with size of (64,128,128) and each volume contains 3 different classes.
I set label as (64,128,128,1), so each voxel value is 0 or 1 or 2, and I didn’t use Softmax before CrossEntropy.
In this case, the output of  some voxels are [-103.49968   -30.210037  100.66923], [ 188.3785     18.234724 -165.98062].
My question are:
1.Am I setting the labels right?
2.Does the highest score in the voxel stands for the output class?
3.Why there are negative values in the ouput?
4.Should I use one-hot encoded label?