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. 2021 Nov;15(6):1410-1411.
doi: 10.1177/19322968211029943. Epub 2021 Jul 14.

The Challenge of Diabetic Retinopathy Standardization in an Ophthalmological Dataset

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The Challenge of Diabetic Retinopathy Standardization in an Ophthalmological Dataset

Luis F Nakayama et al. J Diabetes Sci Technol. 2021 Nov.
No abstract available

Keywords: artificial intelligence; big data; datasets; diabetic retinopathy.

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Conflict of interest statement

Declaration of Conflicting Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

References

    1. Kras A, Celi LA, Miller JB. Accelerating ophthalmic artificial intelligence research: the role of an open access data repository. Curr Opin Ophthalmol. 2020;31(5):337-350. - PMC - PubMed
    1. Ting DSW, Pasquale LR, Peng L, et al. Artificial intelligence and deep learning in ophthalmology. Br J Ophthalmol. 2019;103(2):167-175. - PMC - PubMed
    1. Md A, Abramoff, Lavin PT, Birch M, Shah N, Folk JC. Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices. NPJ Digit Med. 2018;1:39. doi:10.1530/ey.16.12.1 - DOI - PMC - PubMed
    1. Antonetti DA, Klein R, Gardner TW. Diabetic retinopathy. N Engl J Med. 2012;366(13):1227-1239. - PubMed
    1. Liu X, Faes L, Kale AU, et al. A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis. Lancet Digit Health. 2019;1:e271-e297. doi:10.1016/s2589-7500(19)30123-2 - DOI - PubMed

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