Chest X-ray image phase features for improved diagnosis of COVID-19 using convolutional neural network

Author:

Qi Xiao,Brown Lloyd G.,Foran David J.,Nosher John,Hacihaliloglu IlkerORCID

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Radiology, Nuclear Medicine and imaging,General Medicine,Surgery,Computer Graphics and Computer-Aided Design,Computer Science Applications,Computer Vision and Pattern Recognition,Biomedical Engineering

Reference33 articles.

1. Singhal T (2020) A review of coronavirus disease-2019 (covid-19). Indian J Pediatr 5:1–6

2. Zu ZY, Jiang MD, Xu PP, Chen W, Ni QQ, Lu GM, Zhang LJ (2020) Coronavirus disease 2019 (covid-19): a perspective from china. Radiology 3:200490

3. Dong E, Du H, Gardner L (2020) An interactive web-based dashboard to track covid-19 in real time. Lancet Infect Dis 20(5):533–534

4. Wang W, Xu Y, Gao R, Lu R, Han K, Wu G, Tan W (2020) Detection of sars-cov-2 in different types of clinical specimens. JAMA 323(18):1843–1844

5. Bleve G, Rizzotti L, Dellaglio F, Torriani S (2003) Development of reverse transcription (rt)-pcr and real-time rt-pcr assays for rapid detection and quantification of viable yeasts and molds contaminating yogurts and pasteurized food products. Appl Environ Microbiol 69(7):4116–4122

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