A three-stage pipeline detects 16 landmarks, coarsely segments 12 labels, and refines them into 26 structures using landmark constraints to improve accuracy in subcortical MRI segmentation.
Segmentation of MRI head anatomy using deep volumetric networks and multiple spatial priors
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Automatic Landmark-Based Segmentation of Human Subcortical Structures in MRI
A three-stage pipeline detects 16 landmarks, coarsely segments 12 labels, and refines them into 26 structures using landmark constraints to improve accuracy in subcortical MRI segmentation.