On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task

6 Jul 2017Wenqi LiGuotai WangLucas FidonSebastien OurselinM. Jorge CardosoTom Vercauteren

Deep convolutional neural networks are powerful tools for learning visual representations from images. However, designing efficient deep architectures to analyse volumetric medical images remains challenging... (read more)

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