Application of neural networks and genetic algorithms in the classification of endothelial cells

被引：21

作者：

Yamany, SM ^{[1
]}

Khiani, KJ ^{[1
]}

Farag, AA ^{[1
]}

机构：

[1] Univ Louisville, Dept Elect Engn, Comp Vis & Imaging Proc Lab, Louisville, KY 40292 USA

来源：

PATTERN RECOGNITION LETTERS | 1997年 / 18卷 / 11-13期

关键词：

neural networks classification; genetic algorithms; endothelial cells; feature selection; functional link; neural networks;

D O I：

10.1016/S0167-8655(97)00140-2

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 and the functional link network was used in the classification. (C) 1997 Elsevier Science B.V.

引用

页码：1205 / 1210

页数：6

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