Diagnostic accuracy of diabetic retinopathy grading by an artificial intelligence-enabled algorithm compared with a human standard for wide-field true-colour confocal scanning and standard digital retinal images.
- DOI
- 10.1136/bjophthalmol-2019-315394
- Published
- 2021 Feb
- Container
- The British journal of ophthalmology
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1136/bjophthalmol-2019-315394,
title = {Diagnostic accuracy of diabetic retinopathy grading by an artificial intelligence-enabled algorithm compared with a human standard for wide-field true-colour confocal scanning and standard digital retinal images.},
author = {Olvera-Barrios A and Heeren TF and Balaskas K and Chambers R and Bolter L and Egan C and Tufail A and Anderson J},
year = {2021},
journal = {The British journal of ophthalmology},
doi = {10.1136/bjophthalmol-2019-315394},
url = {https://doi.org/10.1136/bjophthalmol-2019-315394}
}RIS
TY - JOUR TI - Diagnostic accuracy of diabetic retinopathy grading by an artificial intelligence-enabled algorithm compared with a human standard for wide-field true-colour confocal scanning and standard digital retinal images. AU - Olvera-Barrios A AU - Heeren TF AU - Balaskas K AU - Chambers R AU - Bolter L AU - Egan C AU - Tufail A AU - Anderson J PY - 2021 JO - The British journal of ophthalmology DO - 10.1136/bjophthalmol-2019-315394 UR - https://doi.org/10.1136/bjophthalmol-2019-315394 ER -
APA
A, O., TF, H., K, B., R, C., L, B., C, E., A, T., & J, A. (2021). Diagnostic accuracy of diabetic retinopathy grading by an artificial intelligence-enabled algorithm compared with a human standard for wide-field true-colour confocal scanning and standard digital retinal images.. The British journal of ophthalmology. https://doi.org/10.1136/bjophthalmol-2019-315394
Source records
- pubmed · retrieved 2026-09-26T11:31:08.134Z