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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2013
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| 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 |