Sciweavers

278 search results - page 1 / 56
» A Generative Model for Image Segmentation Based on Label Fus...
Sort
View
TMI
2010
217views more  TMI 2010»
14 years 9 months ago
A Generative Model for Image Segmentation Based on Label Fusion
We propose a nonparametric, probabilistic model for the automatic segmentation of medical images, given a training set of images and corresponding label maps. The resulting inferen...
Mert R. Sabuncu, B. T. Thomas Yeo, Koenraad Van Le...
123
Voted
CVPR
2011
IEEE
14 years 11 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...
ICIP
2000
IEEE
15 years 6 months ago
Multiscale Texture Segmentation Using Hybrid Contextual Labeling Tree
Wavelet-domain hidden Markov tree (HMT) model has been recently proposed and applied to image processing, e.g., image segmentation. A new multiscale image segmentation method, cal...
Guoliang Fan, Xiang-Gen Xia
190
Voted
CVPR
2012
IEEE
13 years 4 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
14 years 5 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...