COVID-19 open source data sets: a comprehensive survey

J Shuja, E Alanazi, W Alasmary, A Alashaikh - Applied Intelligence, 2021 - Springer
In December 2019, a novel virus named COVID-19 emerged in the city of Wuhan, China. In
early 2020, the COVID-19 virus spread in all continents of the world except Antarctica …

Artificial intelligence and internet of things (AI-IoT) technologies in response to COVID-19 pandemic: A systematic review

JI Khan, J Khan, F Ali, F Ullah, J Bacha, S Lee - Ieee Access, 2022 - ieeexplore.ieee.org
The origin of the COVID-19 pandemic has given overture to redirection, as well as
innovation to many digital technologies. Even after the progression of vaccination efforts …

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 …

Jcs: An explainable covid-19 diagnosis system by joint classification and segmentation

YH Wu, SH Gao, J Mei, J Xu, DP Fan… - … on Image Processing, 2021 - ieeexplore.ieee.org
Recently, the coronavirus disease 2019 (COVID-19) has caused a pandemic disease in
over 200 countries, influencing billions of humans. To control the infection, identifying and …

Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices

S Ahuja, BK Panigrahi, N Dey, V Ra**ikanth… - Applied …, 2021 - Springer
Lung abnormality is one of the common diseases in humans of all age group and this
disease may arise due to various reasons. Recently, the lung infection due to SARS-CoV-2 …

Forecasting models for coronavirus disease (COVID-19): a survey of the state-of-the-art

GR Shinde, AB Kalamkar, PN Mahalle, N Dey… - SN computer …, 2020 - Springer
COVID-19 is a pandemic that has affected over 170 countries around the world. The number
of infected and deceased patients has been increasing at an alarming rate in almost all the …

Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks

NS Punn, S Agarwal - Applied Intelligence, 2021 - Springer
Abstract The novel coronavirus 2019 (COVID-19) is a respiratory syndrome that resembles
pneumonia. The current diagnostic procedure of COVID-19 follows reverse-transcriptase …

DenseNet convolutional neural networks application for predicting COVID-19 using CT image

N Hasan, Y Bao, A Shawon, Y Huang - SN computer science, 2021 - Springer
Recently, the destructive impact of Coronavirus 2019, commonly known as COVID-19, has
affected public health and human lives. This catastrophic effect disrupted human experience …

Quantum machine learning architecture for COVID-19 classification based on synthetic data generation using conditional adversarial neural network

J Amin, M Sharif, N Gul, S Kadry, C Chakraborty - Cognitive computation, 2022 - Springer
Background COVID-19 is a novel virus that affects the upper respiratory tract, as well as the
lungs. The scale of the global COVID-19 pandemic, its spreading rate, and deaths are …

Automatic prediction of COVID− 19 from chest images using modified ResNet50

M Elpeltagy, H Sallam - Multimedia tools and applications, 2021 - Springer
Abstract Recently coronavirus 2019 (COVID-2019), discovered in Wuhan city of China in
December 2019 announced as world pandemic by the World Health Organization (WHO). It …