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Hi,
thank you for releasing code of your inspiring work. I have a question related to dataset preparation:
- For MNIST dataset there are only classification labels, could you share code used to create segmentation masks?
- Matlab script for simulating multiclass data assumes there are files called 'multi-class.nii.gz'. There is no such files after downloading dataset Brats2019 nor after using preprocessing scripts (./preprocessing/Prepare_BRATS.py). Could you explain more precisely how to simulate annotations for Brats2019 dataset?
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