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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| Auteurs principaux: | Albert K Hoang Duc, Marc Modat, Kelvin K Leung, M Jorge Cardoso, Josephine Barnes, Timor Kadir, Sébastien Ourselin, Alzheimer’s Disease Neuroimaging Initiative |
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| Format: | article |
| Langue: | EN |
| Publié: |
Public Library of Science (PLoS)
2013
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/ab9490bb40ea451eba6a2f67dc11cada |
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