Application of Support Vector Machine and Genetic Algorithm for Improved Blood Cell Recognition

被引：70
|
作者：
Osowski, Stanislaw [1 ,2 ]
Siroic, Robert
Markiewicz, Tomasz [3 ]
Siwek, Krzysztof
机构：
[1] Warsaw Univ Technol, Inst Theory Elect Engn Measurement & Informat Sys, PL-00661 Warsaw, Poland
[2] Mil Univ Technol, PL-00908 Warsaw, Poland
[3] Mil Inst Hlth Serv, PL-00909 Warsaw, Poland
来源：
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 2009年 / 58卷 / 07期
关键词：
Blood cell recognition; genetic algorithm (GA); support vector machine (SVM); NEURAL-NETWORKS; SYSTEM; CLASSIFICATION;
D O I：
10.1109/TIM.2008.2006726
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents the application of a genetic algorithm (GA) and a support vector machine (SVM) to the recognition of blood cells based on the image of the bone marrow aspirate. The main task of the GA is the selection of the features used by the SVM in the final recognition and classification of cells. The automatic recognition system has been developed, and the results of its numerical verification are presented and discussed. They show that the application of the GA is a powerful tool for the selection of the diagnostic features, leading to a significant improvement of the accuracy of the whole system.
引用
收藏
页码：2159 / 2168
页数：10
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