A continuous STAPLE for scalar, vector, and tensor images: an application to DTI analysis.
about
A logarithmic opinion pool based STAPLE algorithm for the fusion of segmentations with associated reliability weightsRobust statistical label fusion through COnsensus Level, Labeler Accuracy, and Truth Estimation (COLLATE).Investigation of Bias in Continuous Medical Image Label Fusion.Validating retinal fundus image analysis algorithms: issues and a proposal.A collaborative resource to build consensus for automated left ventricular segmentation of cardiac MR images.Foibles, follies, and fusion: web-based collaboration for medical image labeling.Robust statistical fusion of image labels.Simultaneous truth and performance level estimation through fusion of probabilistic segmentations.WHOLE BRAIN GROUP NETWORK ANALYSIS USING NETWORK BIAS AND VARIANCE PARAMETERS.Multi-atlas multi-shape segmentation of fetal brain MRI for volumetric and morphometric analysis of ventriculomegaly.Finding Seeds for Segmentation Using Statistical Fusion.Expert-driven label fusion in multi-atlas-based segmentation of the prostate using weighted atlases.A Novel Public MR Image Dataset of Multiple Sclerosis Patients With Lesion Segmentations Based on Multi-rater Consensus.
P2860
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P2860
A continuous STAPLE for scalar, vector, and tensor images: an application to DTI analysis.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
2008年论文
@zh
2008年论文
@zh-cn
name
A continuous STAPLE for scalar ...... n application to DTI analysis.
@en
type
label
A continuous STAPLE for scalar ...... n application to DTI analysis.
@en
prefLabel
A continuous STAPLE for scalar ...... n application to DTI analysis.
@en
P2860
P356
P1476
A continuous STAPLE for scalar ...... n application to DTI analysis.
@en
P2093
Olivier Commowick
P2860
P304
P356
10.1109/TMI.2008.2010438
P577
2008-12-09T00:00:00Z