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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 …
[HTML][HTML] Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images
Malaria is a blood disease caused by the Plasmodium parasites transmitted through the bite
of female Anopheles mosquito. Microscopists commonly examine thick and thin blood …
of female Anopheles mosquito. Microscopists commonly examine thick and thin blood …
[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 …
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 …
Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images
Background Malaria is a life-threatening disease caused by Plasmodium parasites that
infect the red blood cells (RBCs). Manual identification and counting of parasitized cells in …
infect the red blood cells (RBCs). Manual identification and counting of parasitized cells in …
Leveraging deep learning techniques for malaria parasite detection using mobile application
Malaria is a contagious disease that affects millions of lives every year. Traditional diagnosis
of malaria in laboratory requires an experienced person and careful inspection to …
of malaria in laboratory requires an experienced person and careful inspection to …
A novel stacked CNN for malarial parasite detection in thin blood smear images
Malaria refers to a contagious mosquito-borne disease caused by parasite genus
plasmodium transmitted by mosquito female Anopheles. As infected mosquito bites a …
plasmodium transmitted by mosquito female Anopheles. As infected mosquito bites a …
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 …
Intelligent diagnostic model for malaria parasite detection and classification using imperative inception-based capsule neural networks
Malaria is an acute fever sickness caused by the Plasmodium parasite and spread by
infected Anopheles female mosquitoes. It causes catastrophic illness if left untreated for an …
infected Anopheles female mosquitoes. It causes catastrophic illness if left untreated for an …