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Artificial intelligence for COVID-19: a systematic review
L Wang, Y Zhang, D Wang, X Tong, T Liu… - Frontiers in …, 2021 - frontiersin.org
Background: Recently, Coronavirus Disease 2019 (COVID-19), caused by severe acute
respiratory syndrome virus 2 (SARS-CoV-2), has affected more than 200 countries and lead …
respiratory syndrome virus 2 (SARS-CoV-2), has affected more than 200 countries and lead …
Automated detection and forecasting of covid-19 using deep learning techniques: A review
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 …
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices
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 …
disease may arise due to various reasons. Recently, the lung infection due to SARS-CoV-2 …
Medical image-based detection of COVID-19 using deep convolution neural networks
The demand for automatic detection of Novel Coronavirus or COVID-19 is increasing across
the globe. The exponential rise in cases burdens healthcare facilities, and a vast amount of …
the globe. The exponential rise in cases burdens healthcare facilities, and a vast amount of …
Forecasting models for coronavirus disease (COVID-19): a survey of the state-of-the-art
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 …
of infected and deceased patients has been increasing at an alarming rate in almost all the …
A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images
The Covid-19 pandemic is the defining global health crisis of our time. Chest X-Rays (CXR)
have been an important imaging modality for assisting in the diagnosis and management of …
have been an important imaging modality for assisting in the diagnosis and management of …
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 …
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
Classification of COVID-19 chest X-Ray and CT images using a type of dynamic CNN modification method
Understanding and classifying Chest X-Ray (CXR) and computerised tomography (CT)
images are of great significance for COVID-19 diagnosis. The existing research on the …
images are of great significance for COVID-19 diagnosis. The existing research on the …
Advances in deep learning for tuberculosis screening using chest X-rays: the last 5 years review
There has been an explosive growth in research over the last decade exploring machine
learning techniques for analyzing chest X-ray (CXR) images for screening cardiopulmonary …
learning techniques for analyzing chest X-ray (CXR) images for screening cardiopulmonary …
Open resource of clinical data from patients with pneumonia for the prediction of COVID-19 outcomes via deep learning
W Ning, S Lei, J Yang, Y Cao, P Jiang… - Nature biomedical …, 2020 - nature.com
Data from patients with coronavirus disease 2019 (COVID-19) are essential for guiding
clinical decision making, for furthering the understanding of this viral disease, and for …
clinical decision making, for furthering the understanding of this viral disease, and for …