AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation

5 Jun 2019Pierrick CoupéBoris MansencalMichaël ClémentRémi GiraudBaudouin Denis de SennevilleVinh-Thong TaVincent LepetitJosé V. Manjon

Whole brain segmentation using deep learning (DL) is a very challenging task since the number of anatomical labels is very high compared to the number of available training images. To address this problem, previous DL methods proposed to use a global convolution neural network (CNN) or few independent CNNs... (read more)

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