Semi Automatic Detector of Plasmodium Falciparum on Microscope Image Based
Iis Hamsir Ayub Wahab, Adhi Susanto, Paulus Insap Santosa, Maesadji Tjokronegoro · 2013
The inspection standard for diagnosis of active malaria for parasites in blood slides through a microscope. Although microscopy has good sensitivity and allows species identification and parasite counts it requires microscopy expertise and involves a labor intensive repetitive task which is time consuming. The main aim of this research is to build an automatic system for identify and classify the parasite plasmodium falciparum based on a digital image scheme. The results of this research show the color features can give higher accuracies based on the architecture of LVQ network with four hidden neurons