[HTML][HTML] Image analysis and machine learning for detecting malaria
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 …
and more than 400,000 deaths per year. Besides biomedical research and political efforts …
Computational methods for automated analysis of malaria parasite using blood smear images: recent advances
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 …
reason for most of the causalities across the world. It is presently rated as a significant cause …
Deep learning approach to detect malaria from microscopic images
A Vijayalakshmi - Multimedia Tools and Applications, 2020 - Springer
Malaria is an infectious disease which is caused by plasmodium parasite. Several image
processing and machine learning based techniques have been employed to diagnose …
processing and machine learning based techniques have been employed to diagnose …
Recent advances of malaria parasites detection systems based on mathematical morphology
Malaria is an epidemic health disease and a rapid, accurate diagnosis is necessary for
proper intervention. Generally, pathologists visually examine blood stained slides for …
proper intervention. Generally, pathologists visually examine blood stained slides for …
Computational microscopic imaging for malaria parasite detection: a systematic review
Malaria, being an epidemic disease, demands its rapid and accurate diagnosis for proper
intervention. Microscopic image‐based characterization of erythrocytes plays an integral …
intervention. Microscopic image‐based characterization of erythrocytes plays an integral …
Dlrfnet: deep learning with random forest network for classification and detection of malaria parasite in blood smear
In healthcare, observing the features and areas of malaria in microscopic images is crucial
for the diagnosis and treatment of plasmodium malaria parasites for automated detection …
for the diagnosis and treatment of plasmodium malaria parasites for automated detection …
Automated system for characterization and classification of malaria‐infected stages using light microscopic images of thin blood smears
DK Das, AK Maiti, C Chakraborty - Journal of microscopy, 2015 - Wiley Online Library
In this paper, we propose a comprehensive image characterization cum classification
framework for malaria‐infected stage detection using microscopic images of thin blood …
framework for malaria‐infected stage detection using microscopic images of thin blood …
Malaria infected erythrocyte classification based on a hybrid classifier using microscopic images of thin blood smear
This paper aims to develop the computer assisted malaria infected erythrocyte classification
based on a hybrid classifier. The major issues are feature extraction, optimal feature …
based on a hybrid classifier. The major issues are feature extraction, optimal feature …
Edge-based segmentation for accurate detection of malaria parasites in microscopic blood smear images: a novel approach using FCM and MPP algorithms
Malaria is a significant global health communicable disease found in maximum epidemics
areas, causing millions of cases of deaths including infant mortality each year. In this article …
areas, causing millions of cases of deaths including infant mortality each year. In this article …
Hybrid classifier based life cycle stages analysis for malaria-infected erythrocyte using thin blood smear images
Malaria, being a life-threatening disease caused by parasites, demands its rapid and
accurate diagnosis. In this paper, we develop a computer-assisted malaria-infected life-cycle …
accurate diagnosis. In this paper, we develop a computer-assisted malaria-infected life-cycle …