[HTML][HTML] Automated detection and quantification of COVID-19 pneumonia: CT imaging analysis by a deep learning-based software
H Zhang, J Zhang, H Zhang, Y Nan, Y Zhao… - European journal of …, 2020 - Springer
Background The novel coronavirus disease 2019 (COVID-19) is an emerging worldwide
threat to public health. While chest computed tomography (CT) plays an indispensable role …
threat to public health. While chest computed tomography (CT) plays an indispensable role …
[HTML][HTML] A deep learning system to screen novel coronavirus disease 2019 pneumonia
X Xu, X Jiang, C Ma, P Du, X Li, S Lv, L Yu, Q Ni… - Engineering, 2020 - Elsevier
The real-time reverse transcription-polymerase chain reaction (RT-PCR) detection of viral
RNA from sputum or nasopharyngeal swab had a relatively low positive rate in the early …
RNA from sputum or nasopharyngeal swab had a relatively low positive rate in the early …
[HTML][HTML] Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography
J Chen, L Wu, J Zhang, L Zhang, D Gong, Y Zhao… - Scientific reports, 2020 - nature.com
Computed tomography (CT) is the preferred imaging method for diagnosing 2019 novel
coronavirus (COVID19) pneumonia. We aimed to construct a system based on deep …
coronavirus (COVID19) pneumonia. We aimed to construct a system based on deep …
A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis
Coronavirus disease 2019 (COVID-19) has spread globally, and medical resources become
insufficient in many regions. Fast diagnosis of COVID-19 and finding high-risk patients with …
insufficient in many regions. Fast diagnosis of COVID-19 and finding high-risk patients with …
[HTML][HTML] COVID-19 pneumonia diagnosis using a simple 2D deep learning framework with a single chest CT image: model development and validation
H Ko, H Chung, WS Kang, KW Kim, Y Shin… - Journal of medical …, 2020 - jmir.org
Background Coronavirus disease (COVID-19) has spread explosively worldwide since the
beginning of 2020. According to a multinational consensus statement from the Fleischner …
beginning of 2020. According to a multinational consensus statement from the Fleischner …
[HTML][HTML] 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 …
Covidctnet: An open-source deep learning approach to identify covid-19 using ct image
Coronavirus disease 2019 (Covid-19) is highly contagious with limited treatment options.
Early and accurate diagnosis of Covid-19 is crucial in reducing the spread of the disease …
Early and accurate diagnosis of Covid-19 is crucial in reducing the spread of the disease …
[HTML][HTML] From community-acquired pneumonia to COVID-19: a deep learning–based method for quantitative analysis of COVID-19 on thick-section CT scans
Objective To develop a fully automated AI system to quantitatively assess the disease
severity and disease progression of COVID-19 using thick-section chest CT images …
severity and disease progression of COVID-19 using thick-section chest CT images …
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 …
Artificial intelligence augmentation of radiologist performance in distinguishing COVID-19 from pneumonia of other origin at chest CT
Background Coronavirus disease 2019 (COVID-19) and pneumonia of other diseases share
similar CT characteristics, which contributes to the challenges in differentiating them with …
similar CT characteristics, which contributes to the challenges in differentiating them with …