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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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Hlavní autoři: Wang, Hongzhi, Yushkevich, Paul A.
Médium: Artigo
Jazyk:Inglês
Vydáno: Frontiers Media S.A. 2013
Témata:
On-line přístup: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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