NeuroMTL iSEG challenge methods
Vladimir FonoviD, Andrew DoyleiD, Alan Charles EvansiD, D. Louis CollinsiD
Abstract
We propose a tissue classification method for MRI scans of 6-month old infants, and used it to process the iSeg-2017 challenge data. The method relies on a deep-learning 3D U-Net network, trained with MRI scans of 216 infants, aged 6-24 months, from the ACE-IBIS longitudinal database.
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