Image segmentation by EM-based adaptive pulse coupled neural networks in brain magnetic resonance imaging

@article{Fu2010ImageSB,
  title={Image segmentation by EM-based adaptive pulse coupled neural networks in brain magnetic resonance imaging},
  author={J. C. Fu and C. C. Chen and J. W. Chai and Stephen T. C. Wong and I. C. Li},
  journal={Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society},
  year={2010},
  volume={34 4},
  pages={308-20}
}
We propose an automatic hybrid image segmentation model that integrates the statistical expectation maximization (EM) model and the spatial pulse coupled neural network (PCNN) for brain magnetic resonance imaging (MRI) segmentation. In addition, an adaptive mechanism is developed to fine tune the PCNN parameters. The EM model serves two functions: evaluation of the PCNN image segmentation and adaptive adjustment of the PCNN parameters for optimal segmentation. To evaluate the performance of the… CONTINUE READING
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