Automatic recognition of the blood cells of myelogenous leukemia using SVM

T. Markiewicz, S. Osowski, B. Marianska, L. Moszczynski
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引用次数: 86

Abstract

The paper presents the system for automatic recognition of the leukemia blast cells on the basis of the image of the bone marrow aspirate. The recognizing system uses support vector machine (SVM) as the classifier and exploits the features of the image of the blood cells related to the texture, geometry and histograms. The results presented in the paper are concerned with the features generation and selection in order to get the best results of recognition. The results of numerical experiments of recognition of 17 classes of blood cells of myelogenous leukemia are presented and discussed.
基于支持向量机的骨髓性白血病血细胞自动识别
本文介绍了一种基于骨髓抽吸图像的白血病母细胞自动识别系统。该识别系统采用支持向量机(SVM)作为分类器,利用血细胞图像的纹理、几何和直方图等相关特征。本文的研究结果涉及到特征的生成和选择,以获得最佳的识别结果。本文介绍并讨论了识别17类骨髓性白血病血细胞的数值实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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