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ICIP
1997
IEEE
12 years 2 months ago
Continuous Label Bayesian Segmentation, Applications to Medical Brain Images
Lars Aurdal, Isabelle Bloch, Henri Maître, C...
MICCAI
2008
Springer
12 years 2 months ago
MR Brain Tissue Classification Using an Edge-Preserving Spatially Variant Bayesian Mixture Model
In this paper, a spatially constrained mixture model for the segmentation of MR brain images is presented. The novelty of this work is a new, edge preserving, smoothness prior whic...
Giorgos Sfikas, Christophoros Nikou, Nikolas P. ...
MICCAI
2008
Springer
12 years 2 months ago
Comparison and Evaluation of Segmentation Techniques for Subcortical Structures in Brain MRI
Abstract. The automation of segmentation of medical images is an active research area. However, there has been criticism of the standard of evaluation of methods. We have comprehen...
Kolawole O. Babalola, Brian Patenaude, Paul Alja...
ECCV
2004
Springer
11 years 6 months ago
Multi-label Image Segmentation for Medical Applications Based on Graph-Theoretic Electrical Potentials
Abstract. A novel method is proposed for performing multi-label, semi-automated image segmentation. Given a small number of pixels with user-defined labels, one can analytically (...
Leo Grady, Gareth Funka-Lea
PAMI
2010
417views more  PAMI 2010»
10 years 11 months ago
Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation
The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. However, how to learn a...
Zhuowen Tu, Xiang Bai
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