Segmentation of Skin Lesions in 2-D and 3-D Ultrasound Images Using a Spatially Coherent Generalized Rayleigh Mixture Model

@article{Pereyra2012SegmentationOS,
  title={Segmentation of Skin Lesions in 2-D and 3-D Ultrasound Images Using a Spatially Coherent Generalized Rayleigh Mixture Model},
  author={Marcelo Pereyra and Nicolas Dobigeon and Hadj Batatia and Jean-Yves Tourneret},
  journal={IEEE Transactions on Medical Imaging},
  year={2012},
  volume={31},
  pages={1509-1520}
}
This paper addresses the problem of jointly estimating the statistical distribution and segmenting lesions in multiple-tissue high-frequency skin ultrasound images. The distribution of multiple-tissue images is modeled as a spatially coherent finite mixture of heavy-tailed Rayleigh distributions. Spatial coherence inherent to biological tissues is modeled by enforcing local dependence between the mixture components. An original Bayesian algorithm combined with a Markov chain Monte Carlo method… CONTINUE READING
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