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The Challenge of Diabetic Retinopathy Standardization in an Ophthalmological Dataset.

作者信息

Nakayama Luis F, Gonçalves Mariana B, Ferraz Daniel A, Santos Helen N V, Malerbi Fernando K, Morales Paulo H, Maia Mauricio, Regatier Caio V S, Belfort Rubens

机构信息

Department of Ophthalmology, Universidade Federal de São Paulo - EPM - São Paulo (SP), Brazil.

Instituto Paulista de Estudos e Pesquisas em Oftalmologia, IPEPO, Vision Institute, São Paulo (SP), Brazil.

出版信息

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

Abstract
摘要

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本文引用的文献

1
Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study.
Lancet Digit Health. 2020 May;2(5):e240-e249. doi: 10.1016/S2589-7500(20)30060-1. Epub 2020 Apr 23.
3
Accelerating ophthalmic artificial intelligence research: the role of an open access data repository.
Curr Opin Ophthalmol. 2020 Sep;31(5):337-350. doi: 10.1097/ICU.0000000000000678.
4
Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices.
NPJ Digit Med. 2018 Aug 28;1:39. doi: 10.1038/s41746-018-0040-6. eCollection 2018.
5
Artificial intelligence and deep learning in ophthalmology.
Br J Ophthalmol. 2019 Feb;103(2):167-175. doi: 10.1136/bjophthalmol-2018-313173. Epub 2018 Oct 25.
6
Diabetic retinopathy.
N Engl J Med. 2012 Mar 29;366(13):1227-39. doi: 10.1056/NEJMra1005073.

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