The pitfalls of using open data to develop deep learning solutions for COVID-19 detection in chest X-rays
- DOI
- 10.48550/arxiv.2109.08020
- Published
- 2021
- Container
- Not recorded
- Publisher
- arXiv
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.48550/arxiv.2109.08020,
title = {The pitfalls of using open data to develop deep learning solutions for COVID-19 detection in chest X-rays},
author = {Harkness, Rachael and Hall, Geoff and Frangi, Alejandro F and Ravikumar, Nishant and Zucker, Kieran},
year = {2021},
doi = {10.48550/arxiv.2109.08020},
url = {https://doi.org/10.48550/arxiv.2109.08020}
}RIS
TY - JOUR TI - The pitfalls of using open data to develop deep learning solutions for COVID-19 detection in chest X-rays AU - Harkness, Rachael AU - Hall, Geoff AU - Frangi, Alejandro F AU - Ravikumar, Nishant AU - Zucker, Kieran PY - 2021 DO - 10.48550/arxiv.2109.08020 UR - https://doi.org/10.48550/arxiv.2109.08020 ER -
APA
Rachael, H., Geoff, H., F, F. A., Nishant, R., & Kieran, Z. (2021). The pitfalls of using open data to develop deep learning solutions for COVID-19 detection in chest X-rays. https://doi.org/10.48550/arxiv.2109.08020
Source records
- datacite · retrieved 2026-09-27T15:07:04.167Z