Labeling skin tissues in ultrasound images using a generalized Rayleigh mixture model

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

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

4 Citations (Scopus)
Original languageEnglish
Title of host publication2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Pages729-732
Number of pages4
ISBN (Electronic)978-1-4577-0539-7, 978-1-4577-0537-3
DOIs
Publication statusPublished - 1 May 2011

Keywords

  • Markov processes
  • Monte Carlo methods
  • belief networks
  • medical image processing
  • skin
  • Bayesian model
  • Markov chain Monte Carlo method
  • generalized Rayleigh mixture model
  • heavy tailed Rayleigh distribution
  • hybrid Metropolis-within-Gibbs sampler
  • skin tissue
  • ultrasound image
  • Bayesian methods
  • Biological system modeling
  • Lesions
  • Manganese
  • Skin
  • Ultrasonic imaging
  • Bayesian estimation
  • Gibbs sampler
  • Heavy-tailed Rayleigh distribution
  • mixture model

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