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» Nonlocal Patch-Based Label Fusion for Hippocampus Segmentati...
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MICCAI
2010
Springer
10 years 9 months ago
Nonlocal Patch-Based Label Fusion for Hippocampus Segmentation
Quantitative magnetic resonance analysis often requires accurate, robust and reliable automatic extraction of anatomical structures. Recently, template-warping methods incorporatin...
Pierrick Coupé, José V. Manjó...
CVPR
2011
IEEE
10 years 8 months ago
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 stron...
Hongzhi Wang, Jung Wook Suh, John Pluta, Murat Alt...
CVPR
2012
IEEE
9 years 2 months ago
From label fusion to correspondence fusion: A new approach to unbiased groupwise registration
Label fusion strategies are used in multi-atlas image segmentation approaches to compute a consensus segmentation of an image, given a set of candidate segmentations produced by r...
Paul A. Yushkevich, Hongzhi Wang, John Pluta, Bria...
IPMI
2011
Springer
10 years 3 months ago
Optimal Weights for Multi-atlas Label Fusion
Multi-atlas based segmentation has been applied widely in medical image analysis. For label fusion, previous studies show that image similarity-based local weighting techniques pro...
Hongzhi Wang, Jung Wook Suh, John Pluta, Murat Alt...
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