A Method for Malaria Parasites Detection Systems

Abstract

Malaria disease is present in semi urban and non-urban areas especially in developing countries. It is always found that non-occurrence of the malaria disease in patients is more than occurrence of malaria disease in patients. It is necessary to develop a model based on decision support system with datasets. It is necessary for predicting the disease quite accurately using the model.   This paper presents a model for malaria parasite identification and classification method. The proposed method detects falciparum and vivax plasmodium using the model.

Keywords: malaria; red blood cells segmentation; medical image analysis