Segmentation and Classification of Brain Spect Images Using 3 D Markov Random Field and Density Mixture Estimations

@inproceedings{Mignotte2001SegmentationAC,
  title={Segmentation and Classification of Brain Spect Images Using 3 D Markov Random Field and Density Mixture Estimations},
  author={Max Mignotte and Jean Meunier and J.-P. Soucy and Christian Janicki},
  year={2001}
}
Thanks to its ability to yield functionally rather than anat omicallybased information, the SPECT imagery technique has become a great help in the diagnostic of cerebrovascular diseases. N vertheless, SPECT images are very noisy and consequently their int rpretation is difficult. In order to facilitate this visualiz ation, we propose an unsupervised 3D Markovian model allowing to segment a brain SPECT image into three classes, corresponding t o the three existing cerebral tissues, respectively… CONTINUE READING
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