Fairness and generalisability in deep learning of retinopathy of prematurity screening algorithms: a literature review.
- DOI
- 10.1136/bmjophth-2022-001216
- Published
- 2023 Aug
- Container
- BMJ open ophthalmology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1136/bmjophth-2022-001216,
title = {Fairness and generalisability in deep learning of retinopathy of prematurity screening algorithms: a literature review.},
author = {Nakayama LF and Mitchell WG and Ribeiro LZ and Dychiao RG and Phanphruk W and Celi LA and Kalua K and Santiago APD and Regatieri CVS and Moraes NSB},
year = {2023},
journal = {BMJ open ophthalmology},
doi = {10.1136/bmjophth-2022-001216},
url = {https://doi.org/10.1136/bmjophth-2022-001216}
}RIS
TY - JOUR TI - Fairness and generalisability in deep learning of retinopathy of prematurity screening algorithms: a literature review. AU - Nakayama LF AU - Mitchell WG AU - Ribeiro LZ AU - Dychiao RG AU - Phanphruk W AU - Celi LA AU - Kalua K AU - Santiago APD AU - Regatieri CVS AU - Moraes NSB PY - 2023 JO - BMJ open ophthalmology DO - 10.1136/bmjophth-2022-001216 UR - https://doi.org/10.1136/bmjophth-2022-001216 ER -
APA
LF, N., WG, M., LZ, R., RG, D., W, P., LA, C., K, K., APD, S., CVS, R., & NSB, M. (2023). Fairness and generalisability in deep learning of retinopathy of prematurity screening algorithms: a literature review.. BMJ open ophthalmology. https://doi.org/10.1136/bmjophth-2022-001216
Source records
- pubmed · retrieved 2026-11-10T18:13:28.918Z