ACUTE LYMPHOBLASTIC LEUKEMIA DIAGNOSIS USING IMAGE PROCESSING TECHNIQUES

被引：0
|
作者：
Selcuk, Osman [1 ]
Ozen, Figen [1 ]
机构：
[1] HALIC Univ, Elekt Elekt Muhendisligi Bolumu, Istanbul, Turkey
来源：
2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2015年
关键词：
acute lymphoblastic leukemia; Wavelet Transform; support vector machines;
D O I：
暂无
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：
An efficient image processing algorithm for the classification of acute lymphoblastic leukemia (ALL) cells has been designed. ALL is encountered especially on children and has a high chance of treatment, yet may lead to death if not treated. The preprocessing part of the algorithm employs the Wavelet Transform technique and the classification is done using Support Vector Machines (SVMs). The results have been analyzed statistically by means of a Confusion Matrix. The rate of success has been found as 96,43%.
引用
收藏
页码：803 / 806
页数：4
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