[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 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 …
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 …
Deep malaria parasite detection in thin blood smear microscopic images
Malaria is a disease activated by a type of microscopic parasite transmitted from infected
female mosquito bites to humans. Malaria is a fatal disease that is endemic in many regions …
female mosquito bites to humans. Malaria is a fatal disease that is endemic in many regions …
Clustering-based dual deep learning architecture for detecting red blood cells in malaria diagnostic smears
Computer-assisted algorithms have become a mainstay of biomedical applications to
improve accuracy and reproducibility of repetitive tasks like manual segmentation and …
improve accuracy and reproducibility of repetitive tasks like manual segmentation and …
White blood cell (WBC) counting analysis in blood smear images using various color segmentation methods
SNM Safuan, MRM Tomari, WNW Zakaria - Measurement, 2018 - Elsevier
White blood cells (WBCs) is closely related to human immunity system which is useful to
fight viruses and bacteria. Cancer therapy effectiveness and some of the blood-related …
fight viruses and bacteria. Cancer therapy effectiveness and some of the blood-related …
Automatic detection and quantification of WBCs and RBCs using iterative structured circle detection algorithm
YM Alomari, SNH Sheikh Abdullah… - … methods in medicine, 2014 - Wiley Online Library
Segmentation and counting of blood cells are considered as an important step that helps to
extract features to diagnose some specific diseases like malaria or leukemia. The manual …
extract features to diagnose some specific diseases like malaria or leukemia. The manual …
A review on automated diagnosis of malaria parasite in microscopic blood smears images
Malaria is a life-threatening disease caused by parasite of genus plasmodium, which is
transmitted through the bite of infected Anopheles. A rapid and accurate diagnosis of …
transmitted through the bite of infected Anopheles. A rapid and accurate diagnosis of …
Peripheral blood smear analysis using image processing approach for diagnostic purposes: A review
Peripheral blood smear analysis is a common practice to evaluate health status of a person.
Many disorders such as malaria, anemia, leukemia, thrombocytopenia, sickle cell anemia …
Many disorders such as malaria, anemia, leukemia, thrombocytopenia, sickle cell anemia …
[PDF][PDF] RBCs and parasites segmentation from thin smear blood cell images
VV Panchbhai, LB Damahe, AV Nagpure… - International Journal of …, 2012 - mecs-press.org
Manually examine the blood smear for the detection of malaria parasite consumes lot of time
for trend pathologists. As the computational power increases, the role of automatic visual …
for trend pathologists. As the computational power increases, the role of automatic visual …