AUTOMATED IMAGE PROCESSING FOR DIAGNOSING THE MALARIA SLIDES
G. Abhishek, P. Sushma, J. NagaDivya, K. Dhanunjaya Rao, V. V. Sai Madhusudan · International Journal of Research Publication and Reviews · 2022
Malaria is one of the most grievous health problems in the modern world, and it is caused by the bite of female Anopheles mosquitos. The parasite plasmodium erythrocytes are produced in the body. Malaria is caused by five Plasmodium parasites: P.falciparum, P.malariae, P.vivax, P.ovale, and P.knowlesi. In the traditional approach, blood samples are collected from the patient and then they were analyzed under a microscope further they will be sent for the manual testing procedure which consumes much time. To prevent this problem, we have proposed an efficient malaria diagnosing system which is developed using the help of a customized convolutional neural network (CNN), where we will pass the blood cells images and in return, automatically it evaluates the patient’s condition parasitized or uninfected.