[HTML][HTML] The mean severity score and its correlation with common computed tomography chest manifestations in Egyptian patients with COVID-2019 pneumonia

MAF Hafez - Egyptian Journal of Radiology and Nuclear Medicine, 2020 - Springer
Background Computed tomography (CT) is one of the main diagnostic tools for early
detection and management of coronavirus disease 2019 (COVID-19) pneumonia. This study …

[HTML][HTML] Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed …

L Saba, M Agarwal, A Patrick, A Puvvula… - International journal of …, 2021 - Springer
Background COVID-19 pandemic has currently no vaccines. Thus, the only feasible solution
for prevention relies on the detection of COVID-19-positive cases through quick and …

[HTML][HTML] Quantitative computed tomography of the coronavirus disease 2019 (COVID-19) pneumonia

Z Cheng, L Qin, Q Cao, J Dai, A Pan, W Yang… - Radiology of Infectious …, 2020 - Elsevier
Objective To quantify coronavirus diseases 2019 (COVID-19) pneumonia and to explore
whether quantitative computer tomography (CT) could be used to assess severity on …

[HTML][HTML] COVID-Classifier: An automated machine learning model to assist in the diagnosis of COVID-19 infection in chest x-ray images

A Zargari Khuzani, M Heidari, SA Shariati - Scientific Reports, 2021 - nature.com
Chest-X ray (CXR) radiography can be used as a first-line triage process for non-COVID-19
patients with pneumonia. However, the similarity between features of CXR images of COVID …

[HTML][HTML] Predicting the COVID-19 infection with fourteen clinical features using machine learning classification algorithms

I Arpaci, S Huang, M Al-Emran, MN Al-Kabi… - Multimedia Tools and …, 2021 - Springer
While the RT-PCR is the silver bullet test for confirming the COVID-19 infection, it is limited
by the lack of reagents, time-consuming, and the need for specialized labs. As an …

[HTML][HTML] Use of the COVID-19 Reporting and Data System (CO-RADS) classification and chest computed tomography involvement score (CT-IS) in COVID-19 …

M Özel, A Aslan, S Araç - La radiologia medica, 2021 - Springer
Purpose The increasing tendency of chest CT usage throughout the COVID-19 epidemic
requires new tools and a systematic scheme for diagnosing and assessing the lung …

[HTML][HTML] Classification of COVID-19 by compressed chest CT image through deep learning on a large patients cohort

Z Zhu, Z Xingming, G Tao, T Dan, J Li, X Chen… - Interdisciplinary …, 2021 - Springer
Abstract Corona Virus Disease (COVID-19) has spread globally quickly, and has resulted in
a large number of causalities and medical resources insufficiency in many countries …

Automatic detection of coronavirus disease (COVID-19) in X-ray and CT images: a machine learning based approach

SH Kassania, PH Kassanib, MJ Wesolowskic… - Biocybernetics and …, 2021 - Elsevier
The newly identified Coronavirus pneumonia, subsequently termed COVID-19, is highly
transmittable and pathogenic with no clinically approved antiviral drug or vaccine available …

Automated assessment of COVID-19 reporting and data system and chest CT severity scores in patients suspected of having COVID-19 using artificial intelligence

N Lessmann, CI Sánchez, L Beenen, LH Boulogne… - Radiology, 2021 - pubs.rsna.org
Background The coronavirus disease 2019 (COVID-19) pandemic has spread across the
globe with alarming speed, morbidity, and mortality. Immediate triage of patients with chest …

Abnormal lung quantification in chest CT images of COVID‐19 patients with deep learning and its application to severity prediction

F Shan, Y Gao, J Wang, W Shi, N Shi, M Han… - Medical …, 2021 - Wiley Online Library
Objective Computed tomography (CT) provides rich diagnosis and severity information of
COVID‐19 in clinical practice. However, there is no computerized tool to automatically …