Kusworo, Adi (2016) Identifying the Developmental Phase of Plasmodium Falciparum in MalariaInfected Red Blood Cells Using Adaptive Color Segmentation And Back Propagation Neural Network. International Journal of Applied Engineering Research, 11 (15). pp. 8754-8759. ISSN 0973-4562

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Abstract

Malaria is a medical emergency that must be dealt with as it has affected millions of sufferers in 90 countries each year. Malaria is caused by a parasite that infects the red blood cells. It is spread to other people by the Anopheles mosquito. One of the plasmodium that causes malaria is plasmodium falciparum. This plasmodium causes tertiana malaria, which is the most potent malaria type that could even cause death. This research is aimed at designing a system able to identify the developmental phase of plasmodium falciparum in red blood cells using adaptive color segmentation and classify that phase using back propagation neural network. Color segmentation is made possible by converting the color space that is used to be based on the RGB (Red, Green, Blue) components into the HSV (Hue, Saturation, Value) color space. A thresholding is then conducted on the Saturation component. The morphological parameters used to differentiate the developmental phase of plasmodium falciparum are area ratio and eccentricity, whereas the back propagation neural network algorithm is used to classify that phase. The results are 87.80% accuracy during training, and 87.14% accuracy during testing.

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