PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
In quicknat.py the module 'squeeze_and_excitation' are imported but the only use of it is:"print(se.SELayer(params['se_block']))". What's the function of this module?
In quicknat.py the module 'squeeze_and_excitation' are imported but the only use of it is:"print(se.SELayer(params['se_block']))". What's the function of this module?