Segmentation of multicolor fluorescence in situ hybridization images using an improved fuzzy C-means clustering algorithm by incorporating both spatial and spectral information
Author:
Affiliation:
1. Tulane University, Department of Biomedical Engineering, New Orleans, Louisiana
Publisher
SPIE-Intl Soc Optical Eng
Subject
Radiology Nuclear Medicine and imaging
Reference45 articles.
1. Molecular genetic analysis of Down syndrome
2. Normalization of multicolor fluorescence in situ hybridization (M-FISH) images for improving color karyotyping
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4. Classification of multicolor fluorescence in-situ hybridization (M-FISH) image using regularized multinomial logistic regression;Li,2012
5. An improved sparse representation model with structural information for Multicolour Fluorescence In-Situ Hybridization (M-FISH) image classification
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1. Remote sensing image classification based on RBF neural network based on fuzzy C-means clustering algorithm;Journal of Intelligent & Fuzzy Systems;2020-04-30
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