QuickNAT: A Fully Convolutional Network for Quick and Accurate Segmentation of Neuroanatomy

12 Jan 2018Abhijit Guha RoySailesh ConjetiNassir NavabChristian Wachinger

Whole brain segmentation from structural magnetic resonance imaging (MRI) is a prerequisite for most morphological analyses, but is computationally intense and can therefore delay the availability of image markers after scan acquisition. We introduce QuickNAT, a fully convolutional, densely connected neural network that segments a \revision{MRI brain scan} in 20 seconds... (read more)

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