Brain segmentation based on multi-atlas guided 3D fully convolutional network ensembles. (arXiv:1901.01381v2 [cs.CV] UPDATED)

In this study, we proposed and validated a multi-atlas guided 3D fully
convolutional network (FCN) ensemble model (M-FCN) for segmenting brain regions
of interest (ROIs) from structural magnetic resonance images (MRIs). One major
limitation of existing state-of-the-art 3D FCN segmentation models is that they
often apply image patches of fixed size throughout training and testing, which
may miss some complex tissue appearance patterns of different brain ROIs. To
address this limitation, we trained a 3D FCN model for each ROI …

apply art arxiv atlas brain ensemble fcn segmentation images major network segmentation state study