Role of hybrid deep neural networks (HDNNs), computed tomography, and chest X-rays for the detection of COVID-19

M Irfan, MA Iftikhar, S Yasin, U Draz, T Ali… - International Journal of …, 2021 - mdpi.com
COVID-19 syndrome has extensively escalated worldwide with the induction of the year
2020 and has resulted in the illness of millions of people. COVID-19 patients bear an …

A deep learning approach to detect COVID-19 patients from chest X-ray images

KF Haque, A Abdelgawad - Ai, 2020 - mdpi.com
Deep Learning has improved multi-fold in recent years and it has been playing a great role
in image classification which also includes medical imaging. Convolutional Neural Networks …

Transfer learning-based convolutional neural network for COVID-19 detection with X-ray images

K Sahinbas, FO Catak - Data science for COVID-19, 2021 - Elsevier
Countries the world over have focused on protecting human health and combatting the
COVID-19 outbreak. It has had a destructive effect on human health and daily life. Many …

Transfer learning to detect COVID‐19 automatically from X‐Ray images using convolutional neural networks

MM Taresh, N Zhu, TAA Ali… - … Journal of Biomedical …, 2021 - Wiley Online Library
The novel coronavirus disease 2019 (COVID‐19) is a contagious disease that has caused
thousands of deaths and infected millions worldwide. Thus, various technologies that allow …

Deep neural network to detect COVID-19: one architecture for both CT Scans and Chest X-rays

H Mukherjee, S Ghosh, A Dhar, SM Obaidullah… - Applied …, 2021 - Springer
Since December 2019, the novel COVID-19's spread rate is exponential, and AI-driven tools
are used to prevent further spreading [1]. They can help predict, screen, and diagnose …

COVID-19 pneumonia detection using optimized deep learning techniques

A Bashar, G Latif, G Ben Brahim, N Mohammad… - Diagnostics, 2021 - mdpi.com
It became apparent that mankind has to learn to live with and adapt to COVID-19, especially
because the developed vaccines thus far do not prevent the infection but rather just reduce …

X-ray and CT-scan-based automated detection and classification of covid-19 using convolutional neural networks (CNN)

S Thakur, A Kumar - Biomedical Signal Processing and Control, 2021 - Elsevier
Abstract Covid-19 (Coronavirus Disease-2019) is the most recent coronavirus-related
disease that has been announced as a pandemic by the World Health Organization (WHO) …

Automatic detection of COVID-19 using X-ray images with deep convolutional neural networks and machine learning

S Asif, Y Wenhui, H Jin, Y Tao, S Jinhai - 2020 - pesquisa.bvsalud.org
The COVID-19 pandemic continues to have a devastating effect on the health and well-
being of the global population. A vital step in the combat towards COVID-19 is a successful …

A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images

KU Ahamed, M Islam, A Uddin, A Akhter… - Computers in biology …, 2021 - Elsevier
Abstract Coronavirus disease-19 (COVID-19) is a severe respiratory viral disease first
reported in late 2019 that has spread worldwide. Although some wealthy countries have …

A novel multi-scale based deep convolutional neural network for detecting COVID-19 from X-rays

M Karnati, A Seal, G Sahu, A Yazidi, O Krejcar - Applied Soft Computing, 2022 - Elsevier
The COVID-19 pandemic has posed an unprecedented threat to the global public health
system, primarily infecting the airway epithelial cells in the respiratory tract. Chest X-ray …