[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 …

Automated detection and forecasting of covid-19 using deep learning techniques: A review

A Shoeibi, M Khodatars, M Jafari, N Ghassemi… - Neurocomputing, 2024 - Elsevier
Abstract In March 2020, the World Health Organization (WHO) declared COVID-19 a global
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …

[Retracted] COVID‐19 Detection Based on Lung Ct Scan Using Deep Learning Techniques

SV Kogilavani, J Prabhu, R Sandhiya… - … Methods in Medicine, 2022 - Wiley Online Library
SARS‐CoV‐2 is a novel virus, responsible for causing the COVID‐19 pandemic that has
emerged as a pandemic in recent years. Humans are becoming infected with the virus. In …

A lightweight CNN-based network on COVID-19 detection using X-ray and CT images

ML Huang, YC Liao - Computers in Biology and Medicine, 2022 - Elsevier
Background and objectives The traditional method of detecting COVID-19 disease mainly
rely on the interpretation of computer tomography (CT) or X-ray images (X-ray) by doctors or …

Transfer learning based novel ensemble classifier for COVID-19 detection from chest CT-scans

NS Shaik, TK Cherukuri - Computers in Biology and Medicine, 2022 - Elsevier
Abstract Coronavirus Disease 2019 (COVID-19) is a deadly infection that affects the
respiratory organs in humans as well as animals. By 2020, this disease turned out to be a …

Chest X-ray analysis empowered with deep learning: A systematic review

D Meedeniya, H Kumarasinghe, S Kolonne… - Applied Soft …, 2022 - Elsevier
Chest radiographs are widely used in the medical domain and at present, chest X-radiation
particularly plays an important role in the diagnosis of medical conditions such as …

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 …

Automated COVID-19 detection from X-ray and CT images with stacked ensemble convolutional neural network

M Gour, S Jain - Biocybernetics and Biomedical Engineering, 2022 - Elsevier
Automatic and rapid screening of COVID-19 from the radiological (X-ray or CT scan) images
has become an urgent need in the current pandemic situation of SARS-CoV-2 worldwide …

[HTML][HTML] Uncertainty-driven ensembles of multi-scale deep architectures for image classification

JE Arco, A Ortiz, J Ramirez, FJ Martinez-Murcia… - Information …, 2023 - Elsevier
The use of automatic systems for medical image classification has revolutionized the
diagnosis of a high number of diseases. These alternatives, which are usually based on …

[HTML][HTML] Empowering covid-19 detection: Optimizing performance through fine-tuned efficientnet deep learning architecture

MA Talukder, MA Layek, M Kazi, MA Uddin… - Computers in Biology …, 2024 - Elsevier
The worldwide COVID-19 pandemic has profoundly influenced the health and everyday
experiences of individuals across the planet. It is a highly contagious respiratory disease …