Maximum-likelihood techniques for joint segmentation-classification of multispectral chromosome images

Traditional chromosome imaging has been limited to grayscale images, but recently a 5-fluorophore combinatorial labeling technique (M-FISH) was developed wherein each class of chromosomes binds with a different combination of fluorophores. This results in a multispectral image, where each class of c...

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Veröffentlicht in:	IEEE transactions on medical imaging 2005-12, Vol.24 (12), p.1593-1610
Hauptverfasser:	Schwartzkopf, W.C., Bovik, A.C., Evans, B.L.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Biological cells Cancer Chromosomes Chromosomes, Human - classification Chromosomes, Human - genetics Chromosomes, Human - ultrastructure Diseases Gray-scale Humans Identification systems Image analysis Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image segmentation In Situ Hybridization, Fluorescence - methods karyotyping Labeling Likelihood Functions Microscopy, Fluorescence, Multiphoton - methods Models, Genetic Models, Statistical Multispectral imaging object recognition partial occlusion Pattern Recognition, Automated - methods Reproducibility of Results Robustness Sensitivity and Specificity Spectrometry, Fluorescence - methods System testing
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