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Regression-Based Label Fusion for Multi-Atlas Segmentation

Automatic segmentation using multi-atlas label fusion has been widely applied in medical image analysis. To simplify the label fusion problem, most methods implicitly make a strong assumption that the segmentation errors produced by different atlases are uncorrelated. We show that violating this ass...

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Bibliografiset tiedot
Päätekijät: Wang, Hongzhi, Suh, Jung Wook, Das, Sandhitsu, Pluta, John, Altinay, Murat, Yushkevich, Paul
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: 2011
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC3343877/
https://ncbi.nlm.nih.gov/pubmed/22562785
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/CVPR.2011.5995382
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