Maximum Likelihood Techniques for Joint Segmentation-Classification of Multi-spectral Chromosome Images by Wade

@inproceedings{Schwartzkopf2002MaximumLT,
  title={Maximum Likelihood Techniques for Joint Segmentation-Classification of Multi-spectral Chromosome Images by Wade},
  author={Carl Schwartzkopf},
  year={2002}
}
This dissertation develops new methods for automatic chromosome identification by taking advantage of the multispectral information in M-FISH chromosome images and by jointly performing chromosome segmentation and classification. Chromosome imaging is a valuable tool for doctors and cytogenetic technicians. Extra chromosomes, missing chromosomes, broken chromosomes, and translocations (parts of chromosomes breaking off and attaching to other chromosomes) are indicators of radiation damage… CONTINUE READING
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