COVID-19 classification of X-ray images using deep neural networks
Author:
Funder
Jean and Terry de Gunzburg Corona Research fund
Publisher
Springer Science and Business Media LLC
Subject
Radiology Nuclear Medicine and imaging,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00330-021-08050-1.pdf
Reference32 articles.
1. Vogels C, Brito A, Wyllie AL et al (2020) Analytical sensitivity and efficiency comparisons of SARS-COV-2 qRT-PCR assays. medRxiv. https://doi.org/10.1101/2020.03.30.20048108 Accessed September 27, 2020
2. Udugama B, Kadhiresan P, Kozlowski HN et al (2020) Diagnosing COVID-19: the disease and tools for detection. ACS Nano:3822–3835. https://doi.org/10.1021/acsnano.0c02624 Accessed September 27, 2020
3. Yang Y, Yang M, Shen C et al (2020) Evaluating the accuracy of different respiratory specimens in the laboratory diagnosis and monitoring the viral shedding of 2019-nCoV infections. medRxiv. https://doi.org/10.1101/2020.02.11.20021493 Accessed September 27, 2020
4. Luo L, Liu D, Liao X et al (2020) Modes of contact and risk of transmission in COVID-19 among close contacts. medRxiv. https://doi.org/10.1101/2020.03.24.20042606 Accessed September 27, 2020
5. Arevalo-Rodriguez I, Buitrago-Garcia D, Simancas-Racines D et al (2020) False-negative results of initial rt-pcr assays for COVID-19: a systematic review. medRxiv. https://doi.org/10.1101/2020.04.16.20066787 Accessed September 27, 2020
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