1 Classification of Multicolor Fluorescence in Situ Hybridization Images Using Gaussian Mixture Models

@inproceedings{Fazel20061CO,
  title={1 Classification of Multicolor Fluorescence in Situ Hybridization Images Using Gaussian Mixture Models},
  author={Amin Fazel and Reza Derakhshani and Yu-Ping Wang},
  year={2006}
}
This paper introduces a fully automatic chromosome classification algorithm for Multicolor or Multiplex Fluorescence In-Situ Hy bridization (M-FISH) images using Gaussian mixture model technique. M-FI SH is a recently developed cellular imaging method for rapid detecti on of chromosomal abnormalities, where each chromosome is labeled wit h 5 dyes and counterstained with DAPI florescence stain. The pro blem is modeled as a 24class 6-feature pixel-by-pixel classification task. Features are… CONTINUE READING
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