2024
DOI: 10.11591/ijeecs.v34.i3.pp2078-2086
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Malaria cell identification using improved machine learning and modified deep learning architecture

Shashikiran S.,
Sunitha H. D.

Abstract: Malaria continues to be a serious problem for public health because of its occurrence in tropical and subtropical areas with inadequate healthcare systems and few resources. For prompt intervention and treatment of malaria, effective and precise diagnosis is essential. Professional pathologists examine blood smear films by hand to get a microscopic diagnosis and another way they will do a rapid antigen malaria test which produces the result of 50% accuracy. Convolutional neural network (CNN) is a type of deep … Show more

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