[HTML][HTML] Review of COVID-19 testing and diagnostic methods
O Filchakova, D Dossym, A Ilyas, T Kuanysheva… - Talanta, 2022 - Elsevier
More than six billion tests for COVID-19 has been already performed in the world. The
testing for SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus-2) virus and …
testing for SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus-2) virus and …
Tools and techniques for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)/COVID-19 detection
SUMMARY The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute
respiratory disease coronavirus 2 (SARS-CoV-2), has led to millions of confirmed cases and …
respiratory disease coronavirus 2 (SARS-CoV-2), has led to millions of confirmed cases and …
COVID-19 artificial intelligence diagnosis using only cough recordings
J Laguarta, F Hueto, B Subirana - IEEE Open Journal of …, 2020 - ieeexplore.ieee.org
Goal: We hypothesized that COVID-19 subjects, especially including asymptomatics, could
be accurately discriminated only from a forced-cough cell phone recording using Artificial …
be accurately discriminated only from a forced-cough cell phone recording using Artificial …
COVID-19 detection through transfer learning using multimodal imaging data
Detecting COVID-19 early may help in devising an appropriate treatment plan and disease
containment decisions. In this study, we demonstrate how transfer learning from deep …
containment decisions. In this study, we demonstrate how transfer learning from deep …
Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network
Abstract (Aim) COVID-19 is an infectious disease spreading to the world this year. In this
study, we plan to develop an artificial intelligence based tool to diagnose on chest CT …
study, we plan to develop an artificial intelligence based tool to diagnose on chest CT …
Blockchain-federated-learning and deep learning models for covid-19 detection using ct imaging
With the increase of COVID-19 cases worldwide, an effective way is required to diagnose
COVID-19 patients. The primary problem in diagnosing COVID-19 patients is the shortage …
COVID-19 patients. The primary problem in diagnosing COVID-19 patients is the shortage …
Development and evaluation of an artificial intelligence system for COVID-19 diagnosis
Early detection of COVID-19 based on chest CT enables timely treatment of patients and
helps control the spread of the disease. We proposed an artificial intelligence (AI) system for …
helps control the spread of the disease. We proposed an artificial intelligence (AI) system for …
Vision Transformers in medical computer vision—A contemplative retrospection
Abstract Vision Transformers (ViTs), with the magnificent potential to unravel the information
contained within images, have evolved as one of the most contemporary and dominant …
contained within images, have evolved as one of the most contemporary and dominant …
Mapping the landscape of artificial intelligence applications against COVID-19
COVID-19, the disease caused by the SARS-CoV-2 virus, has been declared a pandemic by
the World Health Organization, which has reported over 18 million confirmed cases as of …
the World Health Organization, which has reported over 18 million confirmed cases as of …
A review in radiomics: making personalized medicine a reality via routine imaging
J Guiot, A Vaidyanathan, L Deprez… - Medicinal research …, 2022 - Wiley Online Library
Radiomics is the quantitative analysis of standard‐of‑care medical imaging; the information
obtained can be applied within clinical decision support systems to create diagnostic …
obtained can be applied within clinical decision support systems to create diagnostic …