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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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| Hoofdauteurs: | , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Frontiers Media S.A.
2013
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3837555/ https://ncbi.nlm.nih.gov/pubmed/24319427 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fninf.2013.00027 |
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