Classification of COVID-19 chest X-rays with deep learning: new models or fine tuning?-Reference-Cited by-同舟云学术

Classification of COVID-19 chest X-rays with deep learning: new models or fine tuning?

Published:2020-11-22 Issue:1 Volume:9 Page:
ISSN:2047-2501
Container-title:Health Information Science and Systems
language:en
Short-container-title:Health Inf Sci Syst

Author:

Pham Tuan D.^ORCID

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s13755-020-00135-3.pdf

Reference28 articles.

1. Yi PH, Kim TK, Lin CT. Generalizability of deep learning tuberculosis classifier to COVID-19 chest radiographs. J Thorac Imaging. 2020;35:W102–4.

2. Yang W, Sirajuddin A, Zhang X, Liu G, Teng Z, Zhao S, Lu M. The role of imaging in 2019 novel coronavirus pneumonia (COVID-19). Eur Radiol. 2020;15:1–9.

3. Kundu S, Elhalawani H, Gichoya JW, Kahn CE. How might AI and chest imaging help unravel COVID-19’s mysteries? Radiol: Artif Intell. 2020;2:3.

4. Imaging the Coronavirus Disease COVID-19. https://healthcare-in-europe.com/en/news/imaging-the-coronavirus-disease-covid-19.html.

5. Kim TK, Yi PH, Hager GD, Lin CT. Refining dataset curation methods for deep learning-based automated tuberculosis screening. J Thorac Dis. 2019;12:2.

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