[HTML][HTML] Deep Learning applications for COVID-19

C Shorten, TM Khoshgoftaar, B Furht - Journal of big Data, 2021 - Springer
This survey explores how Deep Learning has battled the COVID-19 pandemic and provides
directions for future research on COVID-19. We cover Deep Learning applications in Natural …

[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 stop** 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 …

Deep learning based detection and analysis of COVID-19 on chest X-ray images

R Jain, M Gupta, S Taneja, DJ Hemanth - Applied Intelligence, 2021 - Springer
Covid-19 is a rapidly spreading viral disease that infects not only humans, but animals are
also infected because of this disease. The daily life of human beings, their health, and the …

Automatic detection of coronavirus disease (covid-19) using x-ray images and deep convolutional neural networks

A Narin, C Kaya, Z Pamuk - Pattern Analysis and Applications, 2021 - Springer
The 2019 novel coronavirus disease (COVID-19), with a starting point in China, has spread
rapidly among people living in other countries and is approaching approximately …

Can AI help in screening viral and COVID-19 pneumonia?

MEH Chowdhury, T Rahman, A Khandakar… - Ieee …, 2020 - ieeexplore.ieee.org
Coronavirus disease (COVID-19) is a pandemic disease, which has already caused
thousands of causalities and infected several millions of people worldwide. Any …

Deep learning COVID-19 features on CXR using limited training data sets

Y Oh, S Park, JC Ye - IEEE transactions on medical imaging, 2020 - ieeexplore.ieee.org
Under the global pandemic of COVID-19, the use of artificial intelligence to analyze chest X-
ray (CXR) image for COVID-19 diagnosis and patient triage is becoming important …

COVIDiagnosis-Net: Deep Bayes-SqueezeNet based diagnosis of the coronavirus disease 2019 (COVID-19) from X-ray images

F Ucar, D Korkmaz - Medical hypotheses, 2020 - Elsevier
Abstract The Coronavirus Disease 2019 (COVID-19) outbreak has a tremendous impact on
global health and the daily life of people still living in more than two hundred countries. The …

CNN-based transfer learning–BiLSTM network: A novel approach for COVID-19 infection detection

MF Aslan, MF Unlersen, K Sabanci, A Durdu - Applied Soft Computing, 2021 - Elsevier
Abstract Coronavirus disease 2019 (COVID-2019), which emerged in Wuhan, China in 2019
and has spread rapidly all over the world since the beginning of 2020, has infected millions …

Evaluation of artificial intelligence techniques in disease diagnosis and prediction

N Ghaffar Nia, E Kaplanoglu, A Nasab - Discover Artificial Intelligence, 2023 - Springer
A broad range of medical diagnoses is based on analyzing disease images obtained
through high-tech digital devices. The application of artificial intelligence (AI) in the …