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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Autores principales: Albert K Hoang Duc, Marc Modat, Kelvin K Leung, M Jorge Cardoso, Josephine Barnes, Timor Kadir, Sébastien Ourselin, Alzheimer’s Disease Neuroimaging Initiative
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2013
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Acceso en línea:https://doaj.org/article/ab9490bb40ea451eba6a2f67dc11cada
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