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[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 …
Advances and challenges in automated malaria diagnosis using digital microscopy imaging with artificial intelligence tools: A review
Malaria is an infectious disease caused by parasites of the genus Plasmodium spp. It is
transmitted to humans by the bite of an infected female Anopheles mosquito. It is the most …
transmitted to humans by the bite of an infected female Anopheles mosquito. It is the most …
Performance analysis of deep learning algorithms in diagnosis of malaria disease
Malaria is predominant in many subtropical nations with little health-monitoring
infrastructure. To forecast malaria and condense the disease's impact on the population …
infrastructure. To forecast malaria and condense the disease's impact on the population …
Deep learning for smartphone-based malaria parasite detection in thick blood smears
Objective: This work investigates the possibility of automated malaria parasite detection in
thick blood smears with smartphones. Methods: We have developed the first deep learning …
thick blood smears with smartphones. Methods: We have developed the first deep learning …
[HTML][HTML] Deep learning based automatic malaria parasite detection from blood smear and its smartphone based application
Malaria is a life-threatening disease that is spread by the Plasmodium parasites. It is
detected by trained microscopists who analyze microscopic blood smear images. Modern …
detected by trained microscopists who analyze microscopic blood smear images. Modern …
Malaria parasite detection in thick blood smear microscopic images using modified YOLOV3 and YOLOV4 models
Background Manual microscopic examination of Leishman/Giemsa stained thin and thick
blood smear is still the “gold standard” for malaria diagnosis. One of the drawbacks of this …
blood smear is still the “gold standard” for malaria diagnosis. One of the drawbacks of this …
Application of machine and deep learning algorithms in optical microscopic detection of Plasmodium: A malaria diagnostic tool for the future
Abstract Machine and deep learning techniques are prevalent in the medical discipline due
to their high level of accuracy in disease diagnosis. One such disease is malaria caused by …
to their high level of accuracy in disease diagnosis. One such disease is malaria caused by …
Supporting malaria diagnosis using deep learning and data augmentation
K Hoyos, W Hoyos - Diagnostics, 2024 - mdpi.com
Malaria is an infection caused by the Plasmodium parasite that has a major epidemiological,
social, and economic impact worldwide. Conventional diagnosis of the disease is based on …
social, and economic impact worldwide. Conventional diagnosis of the disease is based on …
Computer-automated malaria diagnosis and quantitation using convolutional neural networks
The optical microscope remains a widely-used tool for diagnosis and quantitation of malaria.
An automated system that can match the performance of well-trained technicians is …
An automated system that can match the performance of well-trained technicians is …
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 …