wmhchallenge/upc_dlmi repository overview

This is the submission of team upc_dlmi, send in for evaluation within the WMH Segmentation Challenge. Full details can be found here: http://wmh.isi.uu.nl/results/upc_dlmi/⁠

Instructions on how to run this container are here: http://wmh.isi.uu.nl/methods/⁠ . The required command is: /bin/bash -c "python3 scripts/Test/WMH/test_inference_VNET.py -p\"params_inference_VNET_patches\" && python3 -c \\"import nibabel;import numpy as np;proxy = nibabel.load('/output/result.nii.gz');img = nibabel.Nifti1Image(np.asarray(proxy.dataobj).astype('uint8'), np.eye(4));img.to_filename('/output/result.nii.gz')\\" "