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ai-med / quickNAT_pytorch

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

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training example

XinhuiLi opened this issue · comments

commented

Hi,

I try to use QuickNAT to train my data but feel a bit confused about the usage and some arguments. Should we convert our data to h5 files first? If so, could you explain how to choose arguments like --data_id and --remap_config in convert_h5.py?

Could you offer some instructions or sample dataset/folder structure to demonstrate how to train the model?

Thanks!

commented

I am having a similar issue. Have you figured it out yet?