Malaria remains a major burden on global health, with roughly 200 million cases worldwide
and more than 400,000 deaths per year. Besides biomedical research and political efforts …

Malaria comes under one of the dangerous diseases in many countries. It is the primary
reason for most of the causalities across the world. It is presently rated as a significant cause …

Malaria is an infectious disease which is caused by plasmodium parasite. Several image
processing and machine learning based techniques have been employed to diagnose …

Malaria, being an epidemic disease, demands its rapid and accurate diagnosis for proper
intervention. Microscopic image‐based characterization of erythrocytes plays an integral …

In this paper, we propose a comprehensive image characterization cum classification
framework for malaria‐infected stage detection using microscopic images of thin blood …

Thick blood smear examination is a necessary part for rapid screening of malaria parasite.
Primary diagnosis of malaria by thick smear examination is cheap and highly sensitive …

Parasite Detection on thick blood smears is a critical step in Malaria diagnosis. Most of the
thick blood smear microscopic images have the following characteristics: high noise, a …

In this paper, we present a probabilistic‐based method to predict malaria disease at an early
stage. Malaria is a very dangerous disease that creates a lot of health problems. Therefore …

The stage of region of interest (ROI) is the determining part to the next stage in image
processing. ROI is a process of taking certain parts or regions in an image. ROI can be done …

Vector-borne diseases account for 17% of the estimated global burden of all infectious
diseases. While malaria is still the deadliest vector-borne disease, dengue has become the …