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Automated Brain Structure Segmentation Based on Atlas Registration and Appearance Models
2012
IEEE Transactions on Medical Imaging
Accurate automated brain structure segmentation methods facilitate the analysis of large-scale neuroimaging studies. This work describes a novel method for brain structure segmentation in magnetic resonance images that combines information about a structure's location and appearance. The spatial model is implemented by registering multiple atlas images to the target image and creating a spatial probability map. The structure's appearance is modeled by a classifier based on Gaussian scale-space
doi:10.1109/tmi.2011.2168420
pmid:21937346
fatcat:3wbcuchrq5flrbo7br4fqnldpq