MALARIAL PARASITE DETECTION USING GAUSSIAN MIXTURE MODEL (GMM)
Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.6, No. 2)Publication Date: 2017-03-02
Authors : Prachi Chavan; P. R. Badadapure;
Page : 305-308
Keywords : RBC; WBC; GMM Filtering; ARR .;
Abstract
Malaria is a deadly disease and the recent survey by the World Health Organization (WHO) has estimated that malaria causes over 200 million cases of fever annually. The malaria is mostly diagnosed by examining properly stained peripheral blood smear because the protozoal infection parasite invades red blood corpuscles (RBC) of the cardiovascular system. For this reason, correct analysis of red blood cell is that t he most confirmative diagnosis of protozoal infection. Here in this paper, completely different approach for proper identification of presence of protozoal infection of parasite is mentioned . The method detec ts the blood components such as the Red Blood Cells (RBCs) , White Blood Cells (WBCs), and identifies the parasites in the infected RBCs
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Last modified: 2017-02-11 20:25:18