Advances in artificial intelligence for infectious-disease surveillance
Advances in Artificial Intelligence for Infectious-Disease Surveillance | New England Journal of
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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 …
[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 …
Machine learning and applications in microbiology
To understand the intricacies of microorganisms at the molecular level requires making
sense of copious volumes of data such that it may now be humanly impossible to detect …
sense of copious volumes of data such that it may now be humanly impossible to detect …
Transfer learning with ResNet-50 for malaria cell-image classification
Malaria is an infectious disease caused by single-celled parasite of plasmodium group. The
disease is more often spread by an Infected Female Anopheles mosquito. In 2017 alone 219 …
disease is more often spread by an Infected Female Anopheles mosquito. In 2017 alone 219 …
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 …
Comparison of traditional image processing and deep learning approaches for classification of white blood cells in peripheral blood smear images
Automated classification and morphological analysis of white blood cells has been
addressed since last four decades, but there is no optimal method which can be used as …
addressed since last four decades, but there is no optimal method which can be used as …
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 …
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 …
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 …