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Background: A critical step in effective care and treatment planning for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the cause of the COVID-19 pandemic, is the assessment of the severity of disease progression.
Monte carlo cross validation
Xu, Q.-S. & Liang, Y.-Z · 2001
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Pan, S. J. & Yang, Q · 2009
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The effectiveness of data augmentation in image classification using deep learning
Perez, L. & Wang, J · 2017
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Severity scoring of lung oedema on the chest radiograph is associated with clinical outcomes in ARDS
Warren, M. A. et al · 2018
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COVID-19 image data collection
Cohen, J. P., Morrison, P. & Dao, L · 2020
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Figure 1 COVID-19 chest x-ray data initiative
Chung, A · 2020
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Actualmed COVID-19 chest x-ray data initiative
Chung, A · 2020
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CT features of coronavirus disease 2019 (COVID-19) pneumonia in 62 patients in Wuhan, China
S., Z., Y., W., T., Z. & L., X · 2020
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CT imaging features of 2019 novel coronavirus (2019-nCoV)
M., C., A., B. & X., M · 2020
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Correlation of Chest CT and RT-PCR Testing in Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases
Ai, T. et al · 2020
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Sensitivity of chest CT for covid-19: Comparison to RT-PCR
Fang, Y. et al · 2020
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Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study
Shi, H. et al · 2020
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COVIDNet-CT: A tailored deep convolutional neural network design for detection of COVID-19 cases from chest CT images
Gunraj, H., Wang, L. & Wong, A · 2020
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The role of chest imaging in patient management during the COVID-19 pandemic: A multinational consensus statement from the fleischner society
Rubin, G. D. et al · 2020
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Clinical characteristics of coronavirus disease 2019 in China
Guan W.J., H. Y., Ni Z.Y · 2020
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Assessing risk factors for SARS-CoV-2 infection in patients presenting with symptoms in Shanghai, China: a multicentre observational cohort study
Mao, B., Liu, Y., Chai, Y. et al · 2020
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Mobile X-rays are highly valuable for critically ill COVID patients
Wu, G. & Li, X · 2020
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The Canadian Society of Thoracic Radiology (CSTR) and Canadian Association of Radiologists (CAR) Consensus Statement Regarding Chest Imaging in Suspected and Confirmed COVID-19
Dennie, C. et al · 2020
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A British Society of Thoracic Imaging statement: considerations in designing local imaging diagnostic algorithms for the COVID-19 pandemic
Nair, A. et al · 2020
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Portable chest X-ray in coronavirus disease-19 (COVID-19): A pictorial review
Jacobi, A., Chung, M., Bernheim, A. & Eber, C · 2020
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Frequency and distribution of chest radiographic findings in COVID-19 positive patients
Wong, H. et al · 2020
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Severity scoring of lung oedema on the chest radiograph is associated with clinical outcomes in ARDS
Toussie, D. et al · 2020
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Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Huang, C. et al · 2020
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Chest Imaging Appearance of COVID-19 Infection
Kong, W. & Agarwal, P · 2020
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Wang, L., Lin, Z. Q. & Wong, A · 2020
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Borghesi, A. & Maroldi, R · 2020
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Covid-net ct-2: Enhanced deep neural networks for detection of covid-19 from chest ct images through bigger, more diverse learning
Gunraj, H., Sabri, A., Koff, D. & Wong, A · 2021
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