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Paper Details

Image quality assessment of retinal fundus photographs for diabetic retinopathy in the machine learning era: a review.
Eye (Lond)
1
2024
DR, IQA, diabetic retinopathy
Author NameAffiliation
Mariana Batista Gon??alvesSao Paulo Federal University
Mariana Batista Gon??alvesInstituto Paulista de Estudos e Pesquisas em Oftalmologia, Vision Institute
Mariana Batista Gon??alvesNIHR Biomedical Research Centre for Ophthalmology, Moorfield Eye Hospital, NHS Foundation Trust, and UCL Institute of Ophthalmology
Luis Filipe NakayamaSao Paulo Federal University
Luis Filipe NakayamaMassachusetts Institute of Technology
Daniel FerrazSao Paulo Federal University
Daniel FerrazInstituto Paulista de Estudos e Pesquisas em Oftalmologia, Vision Institute
Daniel FerrazNIHR Biomedical Research Centre for Ophthalmology, Moorfield Eye Hospital, NHS Foundation Trust, and UCL Institute of Ophthalmology
Hanna FaberUniversity Medical Center Hamburg-Eppendorf
Hanna FaberUniversity of Tuebingen
Edward Korot
Edward KorotStanford University Byers Eye Institute Palo Alto
Fernando Korn MalerbiSao Paulo Federal University
Caio Vinicius RegatieriSao Paulo Federal University
Mauricio MaiaSao Paulo Federal University
Leo Anthony CeliMassachusetts Institute of Technology
Leo Anthony CeliHarvard TH Chan School of Public Health
Leo Anthony CeliBeth Israel Deaconess Medical Center
Pearse A KeaneNIHR Biomedical Research Centre for Ophthalmology, Moorfield Eye Hospital, NHS Foundation Trust, and UCL Institute of Ophthalmology
Rubens BelfortSao Paulo Federal University
Rubens BelfortInstituto Paulista de Estudos e Pesquisas em Oftalmologia, Vision Institute
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