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 research deals with developing automatic classiication algorithms for identifying images of F-actin distribution in endothelial cells with diierent treatment of drugs. These drugs or agonists cause increase in permeability and they include-thrombin and histamine. The permeability results in and/or accompanies rearrangement of the F-actin which induces(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 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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