Three validation metrics for automated probabilistic image segmentation of brain tumours.
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Computer Vision Techniques for Transcatheter Intervention.Spatially regularized estimation for the analysis of dynamic contrast-enhanced magnetic resonance imaging data.Statistical validation based on parametric receiver operating characteristic analysis of continuous classification data.Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool.Reproducibility of functional MR imaging: preliminary results of prospective multi-institutional study performed by Biomedical Informatics Research Network.Statistical validation of brain tumor shape approximation via spherical harmonics for image-guided neurosurgeryStatistical evaluations of the reproducibility and reliability of 3-tesla high resolution magnetization transfer brain images: a pilot study on healthy subjects.Quantitative comparison of thermal dose models in normal canine brainKalman filtered MR temperature imaging for laser induced thermal therapies.Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation.Accuracy and reliability of automated gray matter segmentation pathways on real and simulated structural magnetic resonance images of the human brain.Statistical validation of image segmentation quality based on a spatial overlap indexObjective detection of retinal vessel pulsation.Development of image-processing software for automatic segmentation of brain tumors in MR imagesA model evaluation study for treatment planning of laser-induced thermal therapy.Referenceless magnetic resonance temperature imaging using Gaussian process modeling.Quantitative evaluation of automated skull-stripping methods applied to contemporary and legacy images: effects of diagnosis, bias correction, and slice location.Automated identification of brain tumors from single MR images based on segmentation with refined patient-specific priorsTask-based evaluation of segmentation algorithms for diffusion-weighted MRI without using a gold standard.Morphometry-based measurements of the structural response to whole-brain radiationA non-parametric permutation method for assessing agreement for distance matrix observations.Autodelineation of cervical cancers using multiparametric magnetic resonance imaging and machine learning.Concurrent multimodality image segmentation by active contours for radiotherapy treatment planning.A novel voxel-wise lesion segmentation technique on 3.0-T diffusion MRI of hyperacute focal cerebral ischemia at 1 h after permanent MCAO in rats.
P2860
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P2860
Three validation metrics for automated probabilistic image segmentation of brain tumours.
description
2004 nî lūn-bûn
@nan
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
2004年论文
@zh
2004年论文
@zh-cn
name
Three validation metrics for automated probabilistic image segmentation of brain tumours.
@en
type
label
Three validation metrics for automated probabilistic image segmentation of brain tumours.
@en
prefLabel
Three validation metrics for automated probabilistic image segmentation of brain tumours.
@en
P2093
P2860
P356
P1476
Three validation metrics for automated probabilistic image segmentation of brain tumours.
@en
P2093
Kelly H Zou
Ron Kikinis
William M Wells
P2860
P304
P356
10.1002/SIM.1723
P407
P577
2004-04-01T00:00:00Z