Internet of medical things (IoMT)-integrated biosensors for point-of-care testing of infectious diseases
On global scale, the current situation of pandemic is symptomatic of increased incidences of
contagious diseases caused by pathogens. The faster spread of these diseases, in a …
contagious diseases caused by pathogens. The faster spread of these diseases, in a …
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 …
A comparative analysis of machine learning algorithms to predict alzheimer's disease
M Bari Antor, AHMS Jamil, M Mamtaz… - Journal of …, 2021 - Wiley Online Library
Alzheimer's disease has been one of the major concerns recently. Around 45 million people
are suffering from this disease. Alzheimer's is a degenerative brain disease with an …
are suffering from this disease. Alzheimer's is a degenerative brain disease with an …
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 …
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 …
One-dimensional CNN approach for ECG arrhythmia analysis in fog-cloud environments
Cardiovascular diseases are considered the number one cause of death across the globe
which can be primarily identified by the abnormal heart rhythms of the patients. By …
which can be primarily identified by the abnormal heart rhythms of the patients. By …
[HTML][HTML] A novel transfer learning-based model for diagnosing malaria from parasitized and uninfected red blood cell images
Malaria represents a potentially fatal communicable illness triggered by the Plasmodium
parasite. This disease is transmitted to humans through the bites of Anopheles mosquitoes …
parasite. This disease is transmitted to humans through the bites of Anopheles mosquitoes …
Analyzing malaria disease using effective deep learning approach
K Sriporn, CF Tsai, CE Tsai, P Wang - Diagnostics, 2020 - mdpi.com
Medical tools used to bolster decision-making by medical specialists who offer malaria
treatment include image processing equipment and a computer-aided diagnostic system …
treatment include image processing equipment and a computer-aided diagnostic system …
Explainable transformer-based deep learning model for the detection of malaria parasites from blood cell images
Malaria is a life-threatening disease caused by female anopheles mosquito bites. Various
plasmodium parasites spread in the victim's blood cells and keep their life in a critical …
plasmodium parasites spread in the victim's blood cells and keep their life in a critical …
Enhancing parasitic organism detection in microscopy images through deep learning and fine-tuned optimizer
Parasitic organisms pose a major global health threat, mainly in regions that lack advanced
medical facilities. Early and accurate detection of parasitic organisms is vital to saving lives …
medical facilities. Early and accurate detection of parasitic organisms is vital to saving lives …