Bayesian segmentation of chest tumors in pet scans using a Poisson-Gamma mixture model

Zacharie Irace, Marcelo A. Pereyra, Nicolas Dobigeon, Hadj Batatia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)
Original languageEnglish
Title of host publication2011 IEEE Statistical Signal Processing Workshop (SSP)
Pages809-812
Number of pages4
ISBN (Electronic)978-1-4577-0570-0
DOIs
Publication statusPublished - 2011

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

Cite this

Irace, Z., Pereyra, M. A., Dobigeon, N., & Batatia, H. (2011). Bayesian segmentation of chest tumors in pet scans using a Poisson-Gamma mixture model. In 2011 IEEE Statistical Signal Processing Workshop (SSP) (pp. 809-812) https://doi.org/10.1109/SSP.2011.5967828