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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.

DOI:10.1177/19322968211029943
PMID:34259085
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8655300/
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.基于 teleophthalmology 的糖尿病视网膜病变筛查的人工智能在国家项目中的应用：经济分析模型研究。
Lancet Digit Health. 2020 May;2(5):e240-e249. doi: 10.1016/S2589-7500(20)30060-1. Epub 2020 Apr 23.
2
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis.深度学习在医学影像疾病检测方面的性能与医疗保健专业人员的比较：系统评价和荟萃分析。
Lancet Digit Health. 2019 Oct;1(6):e271-e297. doi: 10.1016/S2589-7500(19)30123-2. Epub 2019 Sep 25.
3
Accelerating ophthalmic artificial intelligence research: the role of an open access data repository.加速眼科人工智能研究：开放获取数据存储库的作用。
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.在基层医疗诊所中用于检测糖尿病视网膜病变的基于人工智能的自主诊断系统的关键试验。
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.人工智能和深度学习在眼科学中的应用。
Br J Ophthalmol. 2019 Feb;103(2):167-175. doi: 10.1136/bjophthalmol-2018-313173. Epub 2018 Oct 25.
6
Diabetic retinopathy.糖尿病视网膜病变
N Engl J Med. 2012 Mar 29;366(13):1227-39. doi: 10.1056/NEJMra1005073.