Multicenter Validated Detection of Focal Cortical Dysplasia using Deep Learning

<p>Lesional and non-lesional patches derived from 148 FCD patients is available as a HDF5 dataset (v1.0.0; doi: 10.5061/dryad.h70rxwdgm or 10.5281/zenodo.3239446). To create this dataset, for each of the 148 FCD patients, we sampled at most 1,000 (*_N1000.h5) or 1,500 (*_N1500.h5) cortical patches (or # voxels in the lesion, whichever is lower) of size 16&times;16&times;16 within the lesion.The same number of cortical patches were sampled randomly outside the lesion. The resulting lesional and non-lesional patches were concatenated, shuffled (to add another layer of randomization), and saved along with their binary labels (compressed HDF5 dataset).</p> <p>For&nbsp;axis=1, index&nbsp;0&nbsp;is T1 and&nbsp;1&nbsp;is FLAIR.</p>