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 …
Role of intelligent computing in COVID-19 prognosis: A state-of-the-art review
Abstract The World Health Organization (WHO) declared novel coronavirus 2019 (COVID-
19), an infectious epidemic caused by SARS-CoV-2, as Pandemic in March 2020. It has …
19), an infectious epidemic caused by SARS-CoV-2, as Pandemic in March 2020. It has …
Can AI help in screening viral and COVID-19 pneumonia?
Coronavirus disease (COVID-19) is a pandemic disease, which has already caused
thousands of causalities and infected several millions of people worldwide. Any …
thousands of causalities and infected several millions of people worldwide. Any …
Deep learning COVID-19 features on CXR using limited training data sets
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 …
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
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 …
global health and the daily life of people still living in more than two hundred countries. The …
Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation
This paper presents an automatic classification segmentation tool for helping screening
COVID-19 pneumonia using chest CT imaging. The segmented lesions can help to assess …
COVID-19 pneumonia using chest CT imaging. The segmented lesions can help to assess …
[HTML][HTML] AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app
A Imran, I Posokhova, HN Qureshi, U Masood… - Informatics in medicine …, 2020 - Elsevier
Background The inability to test at scale has become humanity's Achille's heel in the
ongoing war against the COVID-19 pandemic. A scalable screening tool would be a game …
ongoing war against the COVID-19 pandemic. A scalable screening tool would be a game …
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 …
COVIDGR dataset and COVID-SDNet methodology for predicting COVID-19 based on chest X-ray images
S Tabik, A Gómez-Ríos… - IEEE journal of …, 2020 - ieeexplore.ieee.org
Currently, Coronavirus disease (COVID-19), one of the most infectious diseases in the 21st
century, is diagnosed using RT-PCR testing, CT scans and/or Chest X-Ray (CXR) images …
century, is diagnosed using RT-PCR testing, CT scans and/or Chest X-Ray (CXR) images …
Artificial intelligence (AI) and big data for coronavirus (COVID-19) pandemic: a survey on the state-of-the-arts
The very first infected novel coronavirus case (COVID-19) was found in Hubei, China in Dec.
2019. The COVID-19 pandemic has spread over 214 countries and areas in the world, and …
2019. The COVID-19 pandemic has spread over 214 countries and areas in the world, and …