[HTML][HTML] A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom
Multimodal medical data fusion has emerged as a transformative approach in smart
healthcare, enabling a comprehensive understanding of patient health and personalized …
healthcare, enabling a comprehensive understanding of patient health and personalized …
Artificial intelligence and internet of things (AI-IoT) technologies in response to COVID-19 pandemic: A systematic review
The origin of the COVID-19 pandemic has given overture to redirection, as well as
innovation to many digital technologies. Even after the progression of vaccination efforts …
innovation to many digital technologies. Even after the progression of vaccination efforts …
Fuzzy rank-based fusion of CNN models using Gompertz function for screening COVID-19 CT-scans
COVID-19 has crippled the world's healthcare systems, setting back the economy and taking
the lives of several people. Although potential vaccines are being tested and supplied …
the lives of several people. Although potential vaccines are being tested and supplied …
VGGCOV19-NET: automatic detection of COVID-19 cases from X-ray images using modified VGG19 CNN architecture and YOLO algorithm
A Karacı - Neural Computing and Applications, 2022 - Springer
X-ray images are an easily accessible, fast, and inexpensive method of diagnosing COVID-
19, widely used in health centers around the world. In places where there is a shortage of …
19, widely used in health centers around the world. In places where there is a shortage of …
ET-NET: an ensemble of transfer learning models for prediction of COVID-19 infection through chest CT-scan images
The COVID-19 virus has caused a worldwide pandemic, affecting numerous individuals and
accounting for more than a million deaths. The countries of the world had to declare …
accounting for more than a million deaths. The countries of the world had to declare …
COVID-19 detection from CT scans using a two-stage framework
Abstract Coronavirus disease 2019 (COVID-19) is a contagious disease caused by severe
acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It may cause serious ailments in …
acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It may cause serious ailments in …
An ensemble learning approach to digital corona virus preliminary screening from cough sounds
This work develops a robust classifier for a COVID-19 pre-screening model from
crowdsourced cough sound data. The crowdsourced cough recordings contain a variable …
crowdsourced cough sound data. The crowdsourced cough recordings contain a variable …
[HTML][HTML] Medical image processing and COVID-19: a literature review and bibliometric analysis
RA Abumalloh, M Nilashi, MY Ismail, A Alhargan… - Journal of infection and …, 2022 - Elsevier
COVID-19 crisis has placed medical systems over the world under unprecedented and
growing pressure. Medical imaging processing can help in the diagnosis, treatment, and …
growing pressure. Medical imaging processing can help in the diagnosis, treatment, and …
Role of artificial intelligence in COVID-19 detection
The global pandemic of coronavirus disease (COVID-19) has caused millions of deaths and
affected the livelihood of many more people. Early and rapid detection of COVID-19 is a …
affected the livelihood of many more people. Early and rapid detection of COVID-19 is a …
Prediction of COVID-19 from chest CT images using an ensemble of deep learning models
The novel SARS-CoV-2 virus, responsible for the dangerous pneumonia-type disease,
COVID-19, has undoubtedly changed the world by killing at least 3,900,000 people as of …
COVID-19, has undoubtedly changed the world by killing at least 3,900,000 people as of …