Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning.
- DOI
- 10.1038/s41551-018-0195-0
- Published
- 2018 Mar
- Container
- Nature biomedical engineering
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41551-018-0195-0,
title = {Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning.},
author = {Poplin R and Varadarajan AV and Blumer K and Liu Y and McConnell MV and Corrado GS and Peng L and Webster DR},
year = {2018},
journal = {Nature biomedical engineering},
doi = {10.1038/s41551-018-0195-0},
url = {https://doi.org/10.1038/s41551-018-0195-0}
}RIS
TY - JOUR TI - Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning. AU - Poplin R AU - Varadarajan AV AU - Blumer K AU - Liu Y AU - McConnell MV AU - Corrado GS AU - Peng L AU - Webster DR PY - 2018 JO - Nature biomedical engineering DO - 10.1038/s41551-018-0195-0 UR - https://doi.org/10.1038/s41551-018-0195-0 ER -
APA
R, P., AV, V., K, B., Y, L., MV, M., GS, C., L, P., & DR, W. (2018). Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning.. Nature biomedical engineering. https://doi.org/10.1038/s41551-018-0195-0
Source records
- pubmed · retrieved 2026-09-25T22:47:48.899Z