Whole Brain Segmentation with Full Volume Neural Network
Yeshu Li,
Jonathan Cui,
Yilun Sheng
et al.
Abstract:Whole brain segmentation is an important neuroimaging task that segments the whole brain volume into anatomically labeled regions-of-interest. Convolutional neural networks have demonstrated good performance in this task. Existing solutions, usually segment the brain image by classifying the voxels, or labeling the slices or the sub-volumes separately. Their representation learning is based on parts of the whole volume whereas their labeling result is produced by aggregation of partial segmentation. Learning a… Show more
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