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 …
A comprehensive survey of COVID-19 detection using medical images
The outbreak of the Coronavirus disease 2019 (COVID-19) caused the death of a large
number of people and declared as a pandemic by the World Health Organization. Millions of …
number of people and declared as a pandemic by the World Health Organization. Millions of …
Covid-net: A tailored deep convolutional neural network design for detection of covid-19 cases from chest x-ray images
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 …
devastating effect on the health and well-being of the global population. A critical step in the …
Current limitations to identify COVID-19 using artificial intelligence with chest X-ray imaging
JD López-Cabrera, R Orozco-Morales… - Health and …, 2021 - Springer
The scientific community has joined forces to mitigate the scope of the current COVID-19
pandemic. The early identification of the disease, as well as the evaluation of its evolution is …
pandemic. The early identification of the disease, as well as the evaluation of its evolution is …
COVID-19 infection map generation and detection from chest X-ray images
Computer-aided diagnosis has become a necessity for accurate and immediate coronavirus
disease 2019 (COVID-19) detection to aid treatment and prevent the spread of the virus …
disease 2019 (COVID-19) detection to aid treatment and prevent the spread of the virus …
CoVNet-19: A Deep Learning model for the detection and analysis of COVID-19 patients
Background: The ongoing fight with Novel Corona Virus, getting quick treatment, and rapid
diagnosis reports have become an act of high priority. With millions getting infected daily …
diagnosis reports have become an act of high priority. With millions getting infected daily …
Automated detection of COVID-19 through convolutional neural network using chest x-ray images
The COVID-19 epidemic has a catastrophic impact on global well-being and public health.
More than 27 million confirmed cases have been reported worldwide until now. Due to the …
More than 27 million confirmed cases have been reported worldwide until now. Due to the …
[HTML][HTML] Data augmentation approaches using cycle-consistent adversarial networks for improving COVID-19 screening in portable chest X-ray images
The current COVID-19 pandemic, that has caused more than 100 million cases as well as
more than two million deaths worldwide, demands the development of fast and accurate …
more than two million deaths worldwide, demands the development of fast and accurate …
[HTML][HTML] A deep learning segmentation-classification pipeline for x-ray-based covid-19 diagnosis
R Hertel, R Benlamri - Biomedical Engineering Advances, 2022 - Elsevier
Over the past year, the AI community has constructed several deep learning models for
diagnosing COVID-19 based on the visual features of chest X-rays. While deep learning …
diagnosing COVID-19 based on the visual features of chest X-rays. While deep learning …
Covid-net cxr-2: An enhanced deep convolutional neural network design for detection of covid-19 cases from chest x-ray images
As the COVID-19 pandemic devastates globally, the use of chest X-ray (CXR) imaging as a
complimentary screening strategy to RT-PCR testing continues to grow given its routine …
complimentary screening strategy to RT-PCR testing continues to grow given its routine …