Segmentation of ultrasound images using a spatially coherent generalized Rayleigh mixture model

Marcelo A. Pereyra, Nicolas Dobigeon, Hadj Batatia, Jean-Yves Tourneret

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

2 Citations (Scopus)
Original languageEnglish
Title of host publication2011 19th European Signal Processing Conference
Number of pages5
Publication statusPublished - 2011


  • 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

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