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Skull-Stripping with Machine Learning Deformable Organisms

BACKGROUND: 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...

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Detalles Bibliográficos
Autores principales: Prasad, Gautam, Joshi, Anand A., Feng, Albert, Toga, Arthur W., Thompson, Paul M., Terzopoulos, Demetri
Formato: Artigo
Lenguaje:Inglês
Publicado: 2014
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Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC4169789/
https://ncbi.nlm.nih.gov/pubmed/25124851
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jneumeth.2014.07.023
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