Nitika Nitika

Automated classification of malaria parasite species in thin blood smears using advanced deep learning techniques

Accurate identification of malaria parasite species from Giemsa-stained thin blood smears is essential for appropriate treatment, but remains difficult because of subtle morphological similarities between Plasmodium vivax and Plasmodium falciparum, staining variability, and imbal...