Malaria Detection Using Smear Images
Mahesh U Nagaral, Mohammadi Jamadar · International Journal of Advanced Networking and Applications · 2024
Malaria is induced by parasites belonging to the Plasmodium genus, a blood disease spread by mosquitoes.The traditional method of diagnosing malaria involves examining the patient's stained blood cells under a micro-scope.The rapid and accurate detection of the illness in microscopic images of blood smears is essential for the treatment and control of malaria.This paper presents an approach to malaria detection utilizing a recurrent neural net-work(RNN) with long short-term memory(LSTM), renowned for its ability to effectively process sequential input.A skilled technician examines the slide while paying close attention to both visual and mental details.In this study, Plasmodium parasites in blood smear slides were identified and measured using a novel approach in image processing that produces a machine learning system that can gather, distinguish, and classify different types of infected cells.