Using artificial intelligence to detect COVID-19 and community-acquired pneumonia based on pulmonary CT: evaluation of the diagnostic accuracy
Background Coronavirus disease 2019 (COVID-19) has widely spread all over the world
since the beginning of 2020. It is desirable to develop automatic and accurate detection of …
since the beginning of 2020. It is desirable to develop automatic and accurate detection of …
[HTML][HTML] Artificial intelligence distinguishes COVID-19 from community acquired pneumonia on chest CT
Background Coronavirus disease has widely spread all over the world since the beginning
of 2020. It is desirable to develop automatic and accurate detection of COVID-19 using chest …
of 2020. It is desirable to develop automatic and accurate detection of COVID-19 using chest …
Development and evaluation of an artificial intelligence system for COVID-19 diagnosis
Early detection of COVID-19 based on chest CT enables timely treatment of patients and
helps control the spread of the disease. We proposed an artificial intelligence (AI) system for …
helps control the spread of the disease. We proposed an artificial intelligence (AI) system for …
A deep learning approach to characterize 2019 coronavirus disease (COVID-19) pneumonia in chest CT images
Q Ni, ZY Sun, L Qi, W Chen, Y Yang, L Wang… - European …, 2020 - Springer
Objectives To utilize a deep learning model for automatic detection of abnormalities in chest
CT images from COVID-19 patients and compare its quantitative determination performance …
CT images from COVID-19 patients and compare its quantitative determination performance …
Deep learning-based recognizing covid-19 and other common infectious diseases of the lung by chest ct scan images
M Fu, SL Yi, Y Zeng, F Ye, Y Li, X Dong, YD Ren, L Luo… - MedRxiv, 2020 - medrxiv.org
Purpose COVID-19 has become global threaten. CT acts as an important method of
diagnosis. However, human–based interpretation of CT imaging is time consuming. More …
diagnosis. However, human–based interpretation of CT imaging is time consuming. More …
Deep learning-based COVID-19 detection system using pulmonary CT scans
One of the most significant pandemics has been raised in the form of Coronavirus disease
2019 (COVID19). Many researchers have faced various types of challenges for finding the …
2019 (COVID19). Many researchers have faced various types of challenges for finding the …
[HTML][HTML] Covidnet-ct: A tailored deep convolutional neural network design for detection of covid-19 cases from chest ct images
The coronavirus disease 2019 (COVID-19) pandemic continues to have a tremendous
impact on patients and healthcare systems around the world. In the fight against this novel …
impact on patients and healthcare systems around the world. In the fight against this novel …
[HTML][HTML] Comparing CT scan and chest X-ray imaging for COVID-19 diagnosis
People suspected of having COVID-19 need to know quickly if they are infected, so they can
receive appropriate treatment, self-isolate, and inform those with whom they have been in …
receive appropriate treatment, self-isolate, and inform those with whom they have been in …
Hybrid ensemble model for differential diagnosis between COVID-19 and common viral pneumonia by chest X-ray radiograph
W Jin, S Dong, C Dong, X Ye - Computers in biology and medicine, 2021 - Elsevier
Background Chest X-ray radiography (CXR) has been widely considered as an accessible,
feasible, and convenient method to evaluate suspected patients' lung involvement during …
feasible, and convenient method to evaluate suspected patients' lung involvement during …
A five-layer deep convolutional neural network with stochastic pooling for chest CT-based COVID-19 diagnosis
Abstract Till August 17, 2020, COVID-19 has caused 21.59 million confirmed cases in more
than 227 countries and territories, and 26 naval ships. Chest CT is an effective way to detect …
than 227 countries and territories, and 26 naval ships. Chest CT is an effective way to detect …