Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

M Roberts, D Driggs, M Thorpe, J Gilbey… - Nature Machine …, 2021 - nature.com
Abstract Machine learning methods offer great promise for fast and accurate detection and
prognostication of coronavirus disease 2019 (COVID-19) from standard-of-care chest …

[HTML][HTML] A review of deep learning-based detection methods for COVID-19

N Subramanian, O Elharrouss, S Al-Maadeed… - Computers in Biology …, 2022 - Elsevier
COVID-19 is a fast-spreading pandemic, and early detection is crucial for stopping the
spread of infection. Lung images are used in the detection of coronavirus infection. Chest X …

Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images

T Rahman, A Khandakar, Y Qiblawey, A Tahir… - Computers in biology …, 2021 - Elsevier
Computer-aided diagnosis for the reliable and fast detection of coronavirus disease (COVID-
19) has become a necessity to prevent the spread of the virus during the pandemic to ease …

Covid-net: A tailored deep convolutional neural network design for detection of covid-19 cases from chest x-ray images

L Wang, ZQ Lin, A Wong - Scientific reports, 2020 - nature.com
Abstract The Coronavirus Disease 2019 (COVID-19) pandemic continues to have a
devastating effect on the health and well-being of the global population. A critical step in the …

COVID-19 image classification using deep learning: Advances, challenges and opportunities

P Aggarwal, NK Mishra, B Fatimah, P Singh… - Computers in Biology …, 2022 - Elsevier
Abstract Corona Virus Disease-2019 (COVID-19), caused by Severe Acute Respiratory
Syndrome-Corona Virus-2 (SARS-CoV-2), is a highly contagious disease that has affected …

COVID-19 image classification using deep features and fractional-order marine predators algorithm

AT Sahlol, D Yousri, AA Ewees, MAA Al-Qaness… - Scientific reports, 2020 - nature.com
Currently, we witness the severe spread of the pandemic of the new Corona virus, COVID-
19, which causes dangerous symptoms to humans and animals, its complications may lead …

Backbones-review: Feature extraction networks for deep learning and deep reinforcement learning approaches

O Elharrouss, Y Akbari, N Almaadeed… - arXiv preprint arXiv …, 2022 - arxiv.org
To understand the real world using various types of data, Artificial Intelligence (AI) is the
most used technique nowadays. While finding the pattern within the analyzed data …

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 …

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 …

[HTML][HTML] COVID-CheXNet: hybrid deep learning framework for identifying COVID-19 virus in chest X-rays images

AS Al-Waisy, S Al-Fahdawi, MA Mohammed… - Soft …, 2020 - pmc.ncbi.nlm.nih.gov
The outbreaks of Coronavirus (COVID-19) epidemic have increased the pressure on
healthcare and medical systems worldwide. The timely diagnosis of infected patients is a …