Generalizing Deep Whole Brain Segmentation for Pediatric and Post-Contrast MRI with Augmented Transfer Learning

13 Aug 2019Camilo BermudezJustin BlaberSamuel W. RemediosJess E. ReynoldsCatherine LebelMaureen McHugoStephan HeckersYuankai HuoBennett A. Landman

Generalizability is an important problem in deep neural networks, especially in the context of the variability of data acquisition in clinical magnetic resonance imaging (MRI). Recently, the Spatially Localized Atlas Network Tiles (SLANT) approach has been shown to effectively segment whole brain non-contrast T1w MRI with 132 volumetric labels... (read more)

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