Characterizing spatially varying performance to improve multi-atlas multi-label segmentation.
about
Vanderbilt University Institute of Imaging Science Center for Computational Imaging XNAT: A multimodal data archive and processing environment.Groupwise multi-atlas segmentation of the spinal cord's internal structure.Group-wise FMRI activation detection on DICCCOL landmarksHierarchical performance estimation in the statistical label fusion framework.Optimal MAP Parameters Estimation in STAPLE Using Local Intensity Similarity InformationEstimating a reference standard segmentation with spatially varying performance parameters: local MAP STAPLEDICCCOL: dense individualized and common connectivity-based cortical landmarks.Sparse patch-based label propagation for accurate prostate localization in CT images.Automatic labeling of MR brain images by hierarchical learning of atlas forests.Automatic prostate MR image segmentation with sparse label propagation and domain-specific manifold regularization.Foibles, follies, and fusion: web-based collaboration for medical image labeling.Out-of-atlas likelihood estimation using multi-atlas segmentationNon-local statistical label fusion for multi-atlas segmentation.Robust statistical fusion of image labels.Multi-Scale Hippocampal Parcellation Improves Atlas-Based Segmentation Accuracy.Formulating spatially varying performance in the statistical fusion framework.Deformable segmentation of 3D MR prostate images via distributed discriminative dictionary and ensemble learning.Anatomy-guided Dense Individualized and Common Connectivity-based Cortical Landmarks (A-DICCCOL).Generalized Statistical Label Fusion using Multiple Consensus Levels.Collaborative Labeling of Malignant Glioma with WebMILL: A First LookMulti-atlas multi-shape segmentation of fetal brain MRI for volumetric and morphometric analysis of ventriculomegaly.Simultaneous Segmentation and Statistical Label Fusion.
P2860
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P2860
Characterizing spatially varying performance to improve multi-atlas multi-label segmentation.
description
2011 nî lūn-bûn
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2011年の論文
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2011年学术文章
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2011年学术文章
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2011年学术文章
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2011年学术文章
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name
Characterizing spatially varyi ...... tlas multi-label segmentation.
@en
Characterizing spatially varyi ...... tlas multi-label segmentation.
@nl
type
label
Characterizing spatially varyi ...... tlas multi-label segmentation.
@en
Characterizing spatially varyi ...... tlas multi-label segmentation.
@nl
prefLabel
Characterizing spatially varyi ...... tlas multi-label segmentation.
@en
Characterizing spatially varyi ...... tlas multi-label segmentation.
@nl
P2860
P1476
Characterizing spatially varyi ...... atlas multi-label segmentation
@en
P2093
Andrew J Asman
Bennett A Landman
P2860
P356
10.1007/978-3-642-22092-0_8
P577
2011-01-01T00:00:00Z