Image quality assessment of retinal fundus photographs for diabetic retinopathy in the machine learning era: a review

dc.contributor.author	Faber, Hanna
dc.date.accessioned	2025-08-26T06:13:49Z
dc.date.available	2025-08-26T06:13:49Z
dc.date.issued	2024
dc.identifier.issn	0950-222X
dc.identifier.uri	http://hdl.handle.net/10900/169485
dc.language.iso	en	de_DE
dc.publisher	London : Springernature	de_DE
dc.relation.uri	http://dx.doi.org/10.1038/s41433-023-02717-3	de_DE
dc.subject.ddc	610	de_DE
dc.title	Image quality assessment of retinal fundus photographs for diabetic retinopathy in the machine learning era: a review	de_DE
dc.type	Article	de_DE
utue.quellen.id	20250203000000_05564
utue.publikation.seiten	426-433	de_DE
utue.personen.roh	Goncalves, Mariana Batista
utue.personen.roh	Nakayama, Luis Filipe
utue.personen.roh	Ferraz, Daniel
utue.personen.roh	Faber, Hanna
utue.personen.roh	Korot, Edward
utue.personen.roh	Malerbi, Fernando Korn
utue.personen.roh	Regatieri, Caio Vinicius
utue.personen.roh	Maia, Mauricio
utue.personen.roh	Celi, Leo Anthony
utue.personen.roh	Keane, Pearse A.
utue.personen.roh	Belfort Jr, Rubens
dcterms.isPartOf.ZSTitelID	Eye	de_DE
dcterms.isPartOf.ZS-Issue	3	de_DE
dcterms.isPartOf.ZS-Volume	38	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE

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