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Skull-stripping with machine learning deformable organisms
2014
Journal of Neuroscience Methods
Segmentation methods for medical images may not generalize well to new data sets or new tasks, hampering their utility. We attempt to remedy these issues using deformable organisms to create an easily customizable segmentation plan. We validate our framework by creating a plan to locate the brain in 3D magnetic resonance images of the head (skull-stripping). Our method borrows ideas from artificial life to govern a set of deformable models. We use control processes such as sensing, proactive
doi:10.1016/j.jneumeth.2014.07.023
pmid:25124851
pmcid:PMC4169789
fatcat:52jr4sxp7na2hflws4xhoxgcz4