@inproceedings{2222b95705384c18be137b74bc25e25e,
title = "Segmentation of ultrasound images using a spatially coherent generalized Rayleigh mixture model",
keywords = "Markov processes, Monte Carlo methods, belief networks, biological tissues, biomedical ultrasonics, image segmentation, medical image processing, Markov chain Monte Carlo method, heavy-tailed Rayleigh distributions, hybrid Metropolis-within-Gibbs sampler, label vector, multiple-tissue high-frequency ultrasound image segmentation, original Bayesian algorithm, spatially coherent generalized Rayleigh mixture model, statistical distribution, Bayes methods, Image segmentation, Lesions, Skin, Three-dimensional displays, Ultrasonic imaging, Bayesian estimation, Gibbs sampler, Heavy-tailed Rayleigh distribution, Potts-Markov field, mixture model",
author = "Pereyra, {Marcelo A.} and Nicolas Dobigeon and Hadj Batatia and Jean-Yves Tourneret",
note = "INSPEC Accession Number: 15034052",
year = "2011",
language = "English",
pages = "664--668",
booktitle = "2011 19th European Signal Processing Conference",
}