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» A Novel Multi-Layer Level Set Method for Image Segmentation
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ISBI
2008
IEEE
14 years 8 months ago
A learning based hierarchical model for vessel segmentation
In this paper we present a learning based method for vessel segmentation in angiographic videos. Vessel Segmentation is an important task in medical imaging and has been investiga...
Richard Socher, Adrian Barbu, Dorin Comaniciu
ICCV
2011
IEEE
12 years 7 months ago
Incremental On-line Semi-supervised Learning for Segmenting the Left Ventricle of the Heart from Ultrasound Data
Recently, there has been an increasing interest in the investigation of statistical pattern recognition models for the fully automatic segmentation of the left ventricle (LV) of t...
Gustavo Carneiro, Jacinto C. Nascimento
MICCAI
2008
Springer
14 years 9 months ago
3D Brain Segmentation Using Active Appearance Models and Local Regressors
We describe an efficient and accurate method for segmenting sets of subcortical structures in 3D MR images of the brain. We first find the approximate position of all the structure...
Kolawole O. Babalola, Timothy F. Cootes, Carole ...
DAGM
1998
Springer
13 years 12 months ago
Discrete Mixture Models for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic clustering of histogram data and, more generally, for the analysis of discrete co occurrence data. Adoptin...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann
ICCV
2007
IEEE
13 years 11 months ago
USSR: A Unified Framework for Simultaneous Smoothing, Segmentation, and Registration of Multiple Images
Image smoothing, segmentation and registration are three key processing steps in many computer vision applications. In this paper, we present a novel framework for achieving all t...
Nicholas A. Lord, Jeffrey Ho, Baba C. Vemuri