Diagnostic accuracy of current machine learning classifiers for age-related macular degeneration: a systematic review and meta-analysis.

Cheung R, Chun J, Sheidow T, Motolko M, Malvankar-Mehta MS

DOI: 10.1038/s41433-021-01540-y
Published: 2022 May
Container: Eye (London, England)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41433-021-01540-y,
  title = {Diagnostic accuracy of current machine learning classifiers for age-related macular degeneration: a systematic review and meta-analysis.},
  author = {Cheung R and Chun J and Sheidow T and Motolko M and Malvankar-Mehta MS},
  year = {2022},
  journal = {Eye (London, England)},
  doi = {10.1038/s41433-021-01540-y},
  url = {https://doi.org/10.1038/s41433-021-01540-y}
}

RIS

TY  - JOUR
TI  - Diagnostic accuracy of current machine learning classifiers for age-related macular degeneration: a systematic review and meta-analysis.
AU  - Cheung R
AU  - Chun J
AU  - Sheidow T
AU  - Motolko M
AU  - Malvankar-Mehta MS
PY  - 2022
JO  - Eye (London, England)
DO  - 10.1038/s41433-021-01540-y
UR  - https://doi.org/10.1038/s41433-021-01540-y
ER  -

APA

R, C., J, C., T, S., M, M., & MS, M. (2022). Diagnostic accuracy of current machine learning classifiers for age-related macular degeneration: a systematic review and meta-analysis.. Eye (London, England). https://doi.org/10.1038/s41433-021-01540-y

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pubmed · retrieved 2026-09-25T23:05:21.144Z