A semi-automatic method for quantification and classification of erythrocytes infected with malaria parasites in microscopic images
A semi-automatic method for quantification and classification of erythrocytes infected with malaria parasites in microscopic images
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DOI：
10.1016/j.jbi.2008.11.005
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发表时间：
2009-04-01
影响因子：
4.5
通讯作者：
Romero, Eduardo
中科院分区：
文献类型：
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作者：
Diaz, Gloria;Gonzalez, Fabio A.;Romero, Eduardo
血膜中寄生虫血症的可视化定量是一项非常繁琐、主观和耗时的任务。本文介绍了对恶性疟原虫感染血膜红细胞染色不良进行定量和分类的方法。所提出的方法是由三个主要阶段：预处理步骤，纠正亮度差异。一个分割步骤，使用归一化的RGB颜色空间将像素分类为红细胞或背景，然后在包含树表示中将像素信息结构化为对象。最后，使用训练好的分类器库，两步分类过程识别感染的红细胞并区分感染阶段。此外，当方法不能做出正确的决定时，允许用户干预。450疟疾图像用于训练和评估的方法。自动鉴定感染红细胞的特异性为99.7%，敏感性为94%。确定感染分期的平均敏感性为78.8%，平均特异性为91.2%。(C)2008年爱思唯尔公司All rights reserved.
Visual quantification of parasitemia in thin blood films is a very tedious, Subjective and time-consuming task. This study presents all original method for quantification and classification of erythrocytes ill stained thin blood films infected with Plasmodium falciparum. The proposed approach is composed of three main phases: a preprocessing step, which corrects luminance differences. A segmentation step that uses the normalized RGB color space for classifying pixels either as erythrocyte or background followed by in Inclusion-Tree representation that structures the pixel information into objects. from which erythrocytes are found. Finally, a two step classification process identities infected erythrocytes and differentiates the infection stage, using a trained bank of classifiers. Additionally, user intervention is allowed when the approach cannot make a proper decision. Four hundred fifty malaria images were used for training and evaluating the method. Automatic identification of infected erythrocytes showed a specificity of 99.7% and a sensitivity of 94%. The infection stage was determined with an average sensitivity of 78.8% and Average specificity of 91.2%. (C) 2008 Elsevier Inc. All rights reserved.