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Multi-atlas segmentation with joint label fusion and corrective learning—an open source implementation

Label fusion based multi-atlas segmentation has proven to be one of the most competitive techniques for medical image segmentation. This technique transfers segmentations from expert-labeled images, called atlases, to a novel image using deformable image registration. Errors produced by label transf...

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Detalles Bibliográficos
Autores principales: Wang, Hongzhi, Yushkevich, Paul A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3837555/
https://www.ncbi.nlm.nih.gov/pubmed/24319427
http://dx.doi.org/10.3389/fninf.2013.00027