Application of genetic algorithm and neural network in the Automatic classification of Leukocytes

被引：0

作者：

Zeng, LB ^{[1
]}

Lin, B ^{[1
]}

Liu, SH ^{[1
]}

机构：

[1] Wuhan Univ, Ctr Inst Analysis, Wuhan 430072, Peoples R China

来源：

APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS IN IMAGE PROCESSING VII | 2003年 / 5015卷

关键词：

leukocyte classification; feature selection; genetic algorithm; neural network;

D O I：

10.1117/12.477407

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we discuss to develop automatic classification system for true color Leukocyte image. In view of the deficiencies of traditional combination optimization method, a new method based on genetic algorithm is proposed. Combining the specific situation of cell classification, we made some modification. Finally neural network with error back-propagation is training using the selected feature sets. The result shows this method optimize the classification performance.

引用

页码：73 / 80

页数：8

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