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Multi-atlas Learner Fusion: An efficient segmentation approach for large-scale data
We propose Multi-atlas learner fusion (MLF), a framework for rapidly and accurately replicating the highly accurate, yet computationally expensive, multi-atlas segmentation framework based on fusing local learners. In the largest whole-brain multi-atlas study yet reported, multi-atlas segmentations...
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| Publié dans: | Med Image Anal |
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| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2015
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4679591/ https://ncbi.nlm.nih.gov/pubmed/26363845 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2015.08.010 |
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