Malaria Parasite Detection From Peripheral Blood Smear Images Using Deep Belief Networks

Malaria Parasite Detection in Peripheral Blood Images

This paper investigates the possibility of computerised diagnosis of malaria and describes a method to detect malaria parasites (Plasmodium spp) in images acquired from Giemsa-stained peripheral blood samples under conventional light microscopes. Prior to processing, the images are transformed to match a reference image colour characteristics. The parasite detector utilises a Bayesian pixel cla...

Erythrocyte Features for Malaria Parasite Detection in Microscopic Images of Thin Blood Smear: A Review

Microscopic image analysis of blood smear plays a very important role in characterization of erythrocytes in screening of malaria parasites. The characteristics feature of erythrocyte changes due to malaria parasite infection. The microscopic features of the erythrocyte include morphology, intensity and texture. In this paper, the different features used to differentiate the noninfected and mal...

Malaria exflagellation in a human peripheral blood smear

A clinical case is presented here of a patient from Afganistan. We found intraerythrocytic parasites consistent with malaria vivax. Additionally extraerythrocytic structures were seen. First a co-infection with Borrelia recurrentis was discussed later these structures were identified as male plasmodia microgametes resulting from exflagellation.

Chagas Parasite Detection in Blood Images Using AdaBoost

The Chagas disease is a potentially life-threatening illness caused by the protozoan parasite, Trypanosoma cruzi. Visual detection of such parasite through microscopic inspection is a tedious and time-consuming task. In this paper, we provide an AdaBoost learning solution to the task of Chagas parasite detection in blood images. We give details of the algorithm and our experimental setup. With ...

Comparative Study of Peripheral Blood Smear, QBC and Antigen Detection in Malaria Diagnosis