[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 …
Machine learning and applications in microbiology
SJ Goodswen, JLN Barratt, PJ Kennedy… - FEMS microbiology …, 2021 - academic.oup.com
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 …
[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 …
Classification of acute lymphoblastic leukemia using deep learning
Acute Leukemia is a life‐threatening disease common both in children and adults that can
lead to death if left untreated. Acute Lymphoblastic Leukemia (ALL) spreads out in children's …
lead to death if left untreated. Acute Lymphoblastic Leukemia (ALL) spreads out in children's …
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 …
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 …
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 …
A novel data augmentation convolutional neural network for detecting malaria parasite in blood smear images
Malaria fever is a potentially fatal disease caused by the Plasmodium parasite. Identifying
Plasmodium parasites in blood smear images can help diagnose malaria fever rapidly and …
Plasmodium parasites in blood smear images can help diagnose malaria fever rapidly and …
A hierarchical hand gesture recognition framework for sports referee training-based EMG and accelerometer sensors
To cultivate professional sports referees, we develop a sports referee training system, which
can recognize whether a trainee wearing the Myo armband makes correct judging signals …
can recognize whether a trainee wearing the Myo armband makes correct judging signals …