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MICCAI
2004
Springer
14 years 8 months ago
Shape Particle Filtering for Image Segmentation
Abstract. Deformable template models are valuable tools in medical image segmentation. Current methods elegantly incorporate global shape and appearance, but can not cope with loca...
Marleen de Bruijne, Mads Nielsen
AVSS
2006
IEEE
13 years 11 months ago
Classification-Based Likelihood Functions for Bayesian Tracking
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...
Chunhua Shen, Hongdong Li, Michael J. Brooks
CVPR
2000
IEEE
14 years 9 months ago
Statistical cues for Domain Specific Image Segmentation with Performance Analysis
This paper investigates the use of colour and texture cues for segmentation of images within two specified domains. The first is the Sowerby dataset, which contains one hundred co...
Scott Konishi, Alan L. Yuille
MICCAI
2008
Springer
14 years 8 months ago
A Discriminative Model-Constrained Graph Cuts Approach to Fully Automated Pediatric Brain Tumor Segmentation in 3-D MRI
In this paper we present a fully automated approach to the segmentation of pediatric brain tumors in multi-spectral 3-D magnetic resonance images. It is a top-down segmentation app...
Michael Wels, Gustavo Carneiro, Alexander Aplas,...
ICIP
2009
IEEE
13 years 5 months ago
Overview of adaptive morphology: Trends and perspectives
In this paper we briefly overview emerging trends in `Adaptive Morphology', i.e. work related to the theory and/or applications of image analysis filters, systems, or algorit...
Petros Maragos, Corinne Vachier