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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.
Two public chest x-ray datasets for computer-aided screening of pulmonary diseases
Stefan Jaeger, Sema Candemir, Sameer Antani, Yì-Xiáng J Wáng, Pu-Xuan Lu, and George Thoma · 2014
Earlier work this paper cites.
Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases
Xiaosong [dataset] Wang and et al · 2017
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Grad-cam: Visual explanations from deep networks via gradient-based localization
R.R. Selvaraju and et al · 2017
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A snapshot of image pre-processing for convolutional neural networks: case study of mnist
S. Tabik and et al · 2017
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Severity scoring of lung oedema on the chest radiograph is associated with clinical outcomes in ards
M. A. Warren and et al · 2018
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Radiological society of north america. RSNA pneumonia detection challenge, 2019
[dataset] · 2019
Earlier work this paper cites.
Padchest: A large chest x-ray image dataset with multi-label annotated reports
Aurelia [dataset] Bustos and et al · 2019
Earlier work this paper cites.
Mimic-cxr: A large publicly available database of labeled chest radiographs
Alistair EW [dataset] Johnson and et al · 2019
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COVID-CAPS: A capsule network-based framework for identification of COVID-19 cases from x-ray images
P. Afshar and et al · 2020
Earlier work this paper cites.
Covid-19: automatic detection from x-ray images utilizing transfer learning with convolutional neural networks
I.D. Apostolopoulos and T.A. Mpesiana · 2020
Earlier work this paper cites.
Explainable artificial intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
A. Arrieta and et al · 2020
Cited alongside, same era.
Predicting COVID-19 pneumonia severity on chest x-ray with deep learning
J. P. Cohen and et al · 2020
Cited alongside, same era.
Covid-19 image data collection
Joseph Paul Cohen and et al · 2020
Cited alongside, same era.
Figure 1 COVID-19 chest X-ray dataset initiative
[dataset] Chung et al · 2020
Cited alongside, same era.
COVIDNet
M. A. [dataset] Warren and et al · 2020
Cited alongside, same era.
Sensitivity of chest ct for covid-19: comparison to rt-pcr
Yicheng Fang and et al · 2020
Cited alongside, same era.
Stability issues of rt-pcr testing of sars-cov-2 for hospitalized patients clinically diagnosed with COVID-19
Yafang Li and et al · 2020
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Big Data Preprocessing - Enabling Smart Data
J. Luengo and et al · 2020
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A critic evaluation of methods for covid-19 automatic detection from x-ray images
Gianluca Maguolo and Loris Nanni · 2020
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U-Net lung segmentation
E. Mineo · 2020
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Automated detection of COVID-19 cases using deep neural networks with x-ray images
T. Ozturk and et al · 2020
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Estimating uncertainty and interpretability in deep learning for coronavirus (COVID-19) detection
B. Ghoshal and A. Tucker · 2020
Cited alongside, same era.
Deepcovidexplainer: Explainable covid-19 predictions based on chest x-ray images
Md Karim and et al · 2020
Cited alongside, same era.
Projecting the transmission dynamics of sars-cov-2 through the postpandemic period
Stephen M Kissler and et al · 2020
Cited alongside, same era.
How might ai and chest imaging help unravel covid-19’s mysteries?, 2020
S. Kundu and et al · 2020
Cited alongside, same era.
M. Rey-Area and et al · 2020
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COVID-Net: A tailored deep convolutional neural network design for detection of covid-19 cases from chest radiography images, 2020
L. Wang and et al · 2020
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Chest x-ray findings in 636 ambulatory patients with COVID-19 presenting to an urgent care center: A normal chest x-ray is no guarantee
M.B. Weinstock and et al · 2020
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Frequency and distribution of chest radiographic findings in COVID-19 positive patients
H.Y.F. Wong and et al · 2020
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