@inproceedings{3c45203eb4b04c37bbcfe40ebb612af0,
title = "Bayesian segmentation of chest tumors in pet scans using a Poisson-Gamma mixture model",
keywords = "Bayes methods, Markov processes, Monte Carlo methods, image segmentation, medical image processing, positron emission tomography, tumours, Bayesian segmentation, Markov chain Monte Carlo algorithm, Markov field, PET image segmentation, Poisson-Gamma mixture model, chest tumor, Bayesian methods, Biological system modeling, Image segmentation, Positron emission tomography, Tumors, Bayesian estimation, Gibbs sampler, Markov-Potts, Mixture model, Negative Binomial, PET imaging, Poisson-Gamma",
author = "Zacharie Irace and Pereyra, {Marcelo A.} and Nicolas Dobigeon and Hadj Batatia",
year = "2011",
doi = "10.1109/SSP.2011.5967828",
language = "English",
isbn = "978-1-4577-0569-4",
pages = "809--812",
booktitle = "2011 IEEE Statistical Signal Processing Workshop (SSP)",
}