The Challenge of Diabetic Retinopathy Standardization in an Ophthalmological Dataset

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

Authors

Luis F Nakayama¹, Mariana B Gonçalves^{1

2

3}, Daniel A Ferraz^{1

2

3}, Helen N V Santos¹, Fernando K Malerbi¹, Paulo H Morales^{1

2}, Mauricio Maia¹, Caio V S Regatier¹, Rubens Belfort Jr^{1

2}

Affiliations

¹ Department of Ophthalmology, Universidade Federal de São Paulo - EPM - São Paulo (SP), Brazil.
² Instituto Paulista de Estudos e Pesquisas em Oftalmologia, IPEPO, Vision Institute, São Paulo (SP), Brazil.
³ NIHR Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital, NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK.

No abstract available

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

Publication types

Letter
Research Support, Non-U.S. Gov't

MeSH terms

Artificial Intelligence
Diabetes Mellitus*
Diabetic Retinopathy* / diagnosis
Diagnostic Techniques, Ophthalmological
Humans
Mass Screening
Ophthalmology*
Reference Standards