Ground Truth are actually filled in my dataset:

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Also the Dicescore is doing what ever the flip he wants… Further here is my loss despite being negative the curve does look too bad I guess:

Another Unet implementation was done by Aladdin Persson, might have heard of him on YT, he implemented Unet like this: Machine-Learning-Collection/ML/Pytorch/image_segmentation/semantic_segmentation_unet at master · aladdinpersson/Machine-Learning-Collection · GitHub
I firstly think that he cropped the tensors for the skip connection the wrong way (cropped those coming from the upconv not the skip ones) and he has not mirrowing… How does his net outperform mine this heavily?

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