Kamal J. Khiani

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This paper deals with developing automatic classification algorithms for identifying images of F-actin distribution in endothelial cells with different treatment of drugs. A novel combination of genetic algorithm based feature selection, used to obtain an optimal feature set, and artificial neural network methods including the multilayer feedforward network(More)
This paper deals with developing automatic classiication algorithms for identifying images of F-actin distribution in endothelial cells with diierent treatment of drugs. A novel combination of genetic algorithm based feature selection , used to obtain an optimal feature set, and artiicial neural network methods including the multilayer feedforward network(More)
This research deals with developing automatic classiication algorithms for identifying images of F-actin distribution in endothelial cells with diierent treatment of drugs. Endothelial cells line the internal cavities of the vasculature. These cells contain a brous matrix which is called the cytoskeleton. This matrix is composed of actin. In polymerized(More)
| This research deals with developing automatic classiication algorithms for identifying images of F-actin distribution in endothelial cells with diierent treatment of agonists. Parametric and non-parametric classiication techniques were investigated such as statistical and artiicial neu-ral network classiiers. First and second order features were extracted(More)
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