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Statistical label fusion with hierarchical performance models
Label fusion is a critical step in many image segmentation frameworks (e.g., multi-atlas segmentation) as it provides a mechanism for generalizing a collection of labeled examples into a single estimate of the underlying segmentation. In the multi-label case, typical label fusion algorithms treat al...
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| Glavni autori: | , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
2014
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4013116/ https://ncbi.nlm.nih.gov/pubmed/24817809 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/12.2043182 |
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