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Abstract: In the early 1990s, the state-of-the-art in commercial chromosome image acquisition was grayscale. Automated chromosome classification was based on the grayscale image and boundary information obtained during segmentation. Multi-spectral image acquisition was developed in 1990 and commercialized in the mid1990s. One acquisition method, multiplex fluorescence in-situ hybridization (M-FISH), uses five color dyes. We previously introduced a segmentation algorithm for M-FISH images that minimizes... (Update)
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BibTeX entry: (Update)
@misc{ schwartzkopf-entropy,
author = "Wade Schwartzkopf and Brian L. Evans and Alan C. Bovik",
title = "Entropy Estimation for Segmentation of Multi-Spectral Chromosome Images",
url = "citeseer.comp.nus.edu.sg/676341.html" }
Citations (may not include all citations):15 Nonparametric Entropy Estimation: An Overview (context) - Beirlant, Dudewicz et al. - 1997
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4 Geometric Separation of Partially Overlapping Nonrigid Objec.. (context) - Agam, Dinstein - 1997
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2 Fluorescence Ratio Measurements of Double-labeled Probes for.. (context) - Nederlof, van der Flier et al. - 1992
2 Automated Identification of Human Chromosomes as an Exercise.. (context) - Wu - 1987
2 Analysis of Image Segmentation for Automated Chromosome Iden.. (context) - Vossepoel - 1987
2 One FISH, two FISH, red FISH, blue FISH (context) - Le Beau - 1996
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2 Intelligent Splitting in the Chromosome Domain (context) - Liang - 1989
1 AMathematicalTheoryof Communication (context) - Shannon - 1948
1 Minimum Entropy Segmentation Applied to Multi-Spectral Chrom.. (context) - Schwartzkopf, Evans et al. - 2001
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