[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 …
Analysis of red blood cells from peripheral blood smear images for anemia detection: a methodological review
N KT, K Prasad, BMK Singh - Medical & biological engineering & …, 2022 - Springer
Anemia is a blood disorder which is caused due to inadequate red blood cells and
hemoglobin concentration. It occurs in all phases of life cycle but is more dominant in …
hemoglobin concentration. It occurs in all phases of life cycle but is more dominant in …
A Malaria Diagnostic Tool Based on Computer Vision Screening and Visualization of Plasmodium falciparum Candidate Areas in Digitized Blood Smears
Introduction Microscopy is the gold standard for diagnosis of malaria, however, manual
evaluation of blood films is highly dependent on skilled personnel in a time-consuming, error …
evaluation of blood films is highly dependent on skilled personnel in a time-consuming, error …
Machine aided malaria parasitemia detection in Giemsa-stained thin blood smears
Malaria parasitemia is the quantitative measurement of the parasites in the blood to grade
the degree of infection. Light microscopy is the most well-known method used to examine …
the degree of infection. Light microscopy is the most well-known method used to examine …
Microscopic malaria parasitemia diagnosis and grading on benchmark datasets
Malaria parasitemia diagnosis and grading is hard and still far from perfection. Inaccurate
diagnosis and grading has caused tremendous deaths rate particularly in young children …
diagnosis and grading has caused tremendous deaths rate particularly in young children …
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 …
Plasmodium life cycle stage classification based quantification of malaria parasitaemia in thin blood smears
Visual inspection for the quantification of malaria parasitaemiain (MP) and classification of
life cycle stage are hard and time taking. Even though, automated techniques for the …
life cycle stage are hard and time taking. Even though, automated techniques for the …
Detection and stage classification of Plasmodium falciparum from images of Giemsa stained thin blood films using random forest classifiers
SS Abbas, TMH Dijkstra - Diagnostic pathology, 2020 - Springer
Background The conventional method for the diagnosis of malaria parasites is the
microscopic examination of stained blood films, which is time consuming and requires …
microscopic examination of stained blood films, which is time consuming and requires …
Recent advances on big data analysis for malaria prediction and various diagnosis methodologies
Malaria, being a prevalent disease caused by the Plasmodium species in urban areas,
requires a fast and efficient system to control. To deal with this issue, various techniques …
requires a fast and efficient system to control. To deal with this issue, various techniques …
An intensity threshold based image segmentation of malaria infected cells
P Aggarwal, A Khatter, G Vyas - 2018 Second International …, 2018 - ieeexplore.ieee.org
Malaria is a perilous disease in charge for around 400 to 1000 deaths annually in India. The
conventional technique to diagnose malaria is through microscopy. It takes few hours by an …
conventional technique to diagnose malaria is through microscopy. It takes few hours by an …