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] Computer-Aided Diagnosis Systems for Automatic Malaria Parasite Detection and Classification: A Systematic Review
Malaria is a disease that affects millions of people worldwide with a consistent mortality rate.
The light microscope examination is the gold standard for detecting infection by malaria …
The light microscope examination is the gold standard for detecting infection by malaria …
[PDF][PDF] Deep learning-based computer assisted detection techniques for malaria parasite using blood smear images
Malaria remains a significant global health concern, impacting various regions worldwide.
Achieving effective treatment and reducing mortality rates hinges on early and accurate …
Achieving effective treatment and reducing mortality rates hinges on early and accurate …
Automatic patient-level recognition of four Plasmodium species on thin blood smear by a real-time detection transformer (RT-DETR) object detection algorithm: a …
E Guemas, B Routier… - Microbiology …, 2024 - Am Soc Microbiol
Malaria remains a global health problem, with 247 million cases and 619,000 deaths in
2021. Diagnosis of Plasmodium species is important for administering the appropriate …
2021. Diagnosis of Plasmodium species is important for administering the appropriate …
Application of hybrid capsule network model for malaria parasite detection on microscopic blood smear images
Today, malaria is a dangerous disease caused by Plasmodium parasites and transmitted by
the bite of Anopheles mosquitoes. It is estimated that more than 200,000 cases of malaria …
the bite of Anopheles mosquitoes. It is estimated that more than 200,000 cases of malaria …
Intelligent Systems for early malaria disease detection in patient cells using transfer learning approaches
Malaria is an infectious disease spread by mosquitoes that effect humans and other animals.
It is a massive threat to humanity, with instances growing each year. It is essential to prevent …
It is a massive threat to humanity, with instances growing each year. It is essential to prevent …
Investigating the Joint Amplitude and Phase Imaging of Stained Samples in Automatic Diagnosis
The diagnosis of many diseases relies, at least on first intention, on an analysis of blood
smears acquired with a microscope. However, image quality is often insufficient for the …
smears acquired with a microscope. However, image quality is often insufficient for the …
Risk assessment of imported malaria in China: a machine learning perspective
S Yang, R Li, S Yan, H Yang, Z Cao, L Zhang, J Xue… - BMC Public Health, 2024 - Springer
Abstract Background Following China's official designation as malaria-free country by WHO,
the imported malaria has emerged as a significant determinant impacting the malaria …
the imported malaria has emerged as a significant determinant impacting the malaria …
A transfer learning approach to identify Plasmodium in microscopic images
Plasmodium parasites cause Malaria disease, which remains a significant threat to global
health, affecting 200 million people and causing 400,000 deaths yearly. Plasmodium …
health, affecting 200 million people and causing 400,000 deaths yearly. Plasmodium …
Early Detection Of Canine Babesia From Red Blood Cell Images Using Deep Ensemble Learning
Artificial intelligence-assisted medical diagnosis is enhancing accuracy with the contribution
of several state of the art technologies such as Deep Learning (DL), Machine Learning (ML) …
of several state of the art technologies such as Deep Learning (DL), Machine Learning (ML) …