Tools and techniques for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)/COVID-19 detection

SH Safiabadi Tali, JJ LeBlanc, Z Sadiq… - Clinical microbiology …, 2021 - Am Soc Microbiol
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 …

Deep learning and medical image analysis for COVID-19 diagnosis and prediction

T Liu, E Siegel, D Shen - Annual review of biomedical …, 2022 - annualreviews.org
The coronavirus disease 2019 (COVID-19) pandemic has imposed dramatic challenges to
health-care organizations worldwide. To combat the global crisis, the use of thoracic …

Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study

SR Nayak, DR Nayak, U Sinha, V Arora… - … Signal Processing and …, 2021 - Elsevier
Abstract The emergence of Coronavirus Disease 2019 (COVID-19) in early December 2019
has caused immense damage to health and global well-being. Currently, there are …

Inf-net: Automatic covid-19 lung infection segmentation from ct images

DP Fan, T Zhou, GP Ji, Y Zhou, G Chen… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Coronavirus Disease 2019 (COVID-19) spread globally in early 2020, causing the world to
face an existential health crisis. Automated detection of lung infections from computed …

Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network

A Abbas, MM Abdelsamea, MM Gaber - Applied Intelligence, 2021 - Springer
Chest X-ray is the first imaging technique that plays an important role in the diagnosis of
COVID-19 disease. Due to the high availability of large-scale annotated image datasets …

Deep learning for classification and localization of COVID-19 markers in point-of-care lung ultrasound

S Roy, W Menapace, S Oei, B Luijten… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Deep learning (DL) has proved successful in medical imaging and, in the wake of the recent
COVID-19 pandemic, some works have started to investigate DL-based solutions for the …

Development and evaluation of an artificial intelligence system for COVID-19 diagnosis

C Jin, W Chen, Y Cao, Z Xu, Z Tan, X Zhang… - Nature …, 2020 - nature.com
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 …

Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan

D Yang, Z Xu, W Li, A Myronenko, HR Roth… - Medical image …, 2021 - Elsevier
The recent outbreak of Coronavirus Disease 2019 (COVID-19) has led to urgent needs for
reliable diagnosis and management of SARS-CoV-2 infection. The current guideline is using …

Applications of artificial intelligence in battling against covid-19: A literature review

M Tayarani - Chaos, Solitons and Fractals, 2020 - researchprofiles.herts.ac.uk
Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …

Application of deep learning techniques in diagnosis of covid-19 (coronavirus): a systematic review

YH Bhosale, KS Patnaik - Neural processing letters, 2023 - Springer
Covid-19 is now one of the most incredibly intense and severe illnesses of the twentieth
century. Covid-19 has already endangered the lives of millions of people worldwide due to …