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Malaria parasite identification on thick blood film using genetic programming

机译:遗传程序在厚厚血膜上鉴定疟原虫

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Thin blood film is used to know type and phase of the malaria parasite, but which is widely used in Indonesia is the thick blood film. Therefore we need a method that can identify parasites in thick blood film image with a high percentage of accuracy. This research aims to establish a more objective classification system and reduce the subjective factors of medical personnel in diagnosing the type of malaria parasite include its phase. It has three main stages, there are preprocessing, feature extraction, and classification. Preprocessing aims to eliminate the noise, feature extraction using red-green-blue channel color histogram, hue channel HSV histogram, and hue channel HSI histogram, classification using Genetic Programming to identify parasites and also to detect type and phase of the parasite. Experiment was conducted on 180 thick blood film images that classiffied into two classes. The classification has an average accuracy of 95.49% for non-parasites and 95.58% for parasites. Meanwhile when system is used to classified into six classes, testing result have an average accuracy of 90.25% not parasites, 82.25% vivax thropozoit, 75.83% vivax schizont, 81.75% vivax gametocytes, 90.75% falciparum thropozoit, 86.75% falciparum gametocytes. This research confirm that identifying malaria parasite in thick blood film is possible.
机译:薄血膜用于了解疟原虫的类型和阶段,但在印度尼西亚广泛使用的是厚血膜。因此,我们需要一种能够以高百分比准确度识别厚血膜图像中的寄生虫的方法。这项研究旨在建立一个更客观的分类系统,并减少医务人员在诊断疟疾寄生虫类型包括其阶段的主观因素。它具有三个主要阶段,分别是预处理,特征提取和分类。预处理的目的是消除噪声,使用红绿蓝通道颜色直方图,色相通道HSV直方图和色相通道HSI直方图进行特征提取,使用遗传编程进行分类以识别寄生虫,并检测寄生虫的类型和相位。对分为两类的180张厚厚的血膜图像进行了实验。该分类对于非寄生虫的平均准确度为95.49%,对于寄生虫的平均准确度为95.58%。同时,将系统分为六类时,检测结果的平均准确度为:非寄生虫90.25%,间日疟原虫82.25%,裂殖体75.83%,间日配子81.75%,恶性疟原虫90.75%,恶性疟原虫86.75%。这项研究证实,在厚厚的血膜中鉴定疟原虫是可能的。

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