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This work is licensed under a Creative Commons Attribution 4.0 International License.
Automatic Detection of Malaria Parasite from Blood Images using MATLAB
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Abstract: Malaria is a mortal disease caused by parasites that are transmitted to people by mosquitoes. An estimated 700,000 people were killed by malaria in 2010 globally and approximately half the world’s populations are at risk of the disease. Malaria is preventable and curable. The best way of diagnosing it is to look at samples of a patient’s blood down a microscope. If one see malaria parasites then the patient has malaria. Quick diagnosis and treatment of malaria with anti-malarial drugs prevents deaths and reduces transmission. In this work automatic detection of malaria from blood images was done and 100% accuracy and sensitivity was found.
Keywords: Mortal disease, Mosquitoes, Microscope, Quick diagnosis, Anti malaria drugs, Robust, Transmission
Keywords: Mortal disease, Mosquitoes, Microscope, Quick diagnosis, Anti malaria drugs, Robust, Transmission
How to Cite:
[1] Deepmala, Naveen Kumar Dewangan, “Automatic Detection of Malaria Parasite from Blood Images using MATLAB,” International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI: 10.17148/IJIREEICE.2019.7705
This work is licensed under a Creative Commons Attribution 4.0 International License.