Using Manifold Learning for Atlas Selection in Multi-Atlas Segmentation

Multi-atlas segmentation has been widely used to segment various anatomical structures. The success of this technique partly relies on the selection of atlases that are best mapped to a new target image after registration. Recently, manifold learning has been proposed as a method for atlas selection...

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Detalles Bibliográficos
Autores principales: Hoang Duc, Albert K., Modat, Marc, Leung, Kelvin K., Cardoso, M. Jorge, Barnes, Josephine, Kadir, Timor, Ourselin, Sébastien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3732273/
https://www.ncbi.nlm.nih.gov/pubmed/23936376
http://dx.doi.org/10.1371/journal.pone.0070059

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3732273/
https://www.ncbi.nlm.nih.gov/pubmed/23936376
http://dx.doi.org/10.1371/journal.pone.0070059

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