Automated computer system grading of diabetic retinopathy from fundus photographs

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dc.contributor.authorÜnver, Y.B.
dc.contributor.authorYavuz, Gülderen Aktan
dc.contributor.authorSinclair, Stephen H.
dc.date.accessioned2020-04-30T13:32:09Z
dc.date.available2020-04-30T13:32:09Z
dc.date.issued2009
dc.departmentDÜ, Tıp Fakültesi, Cerrahi Tıp Bilimleri Bölümüen_US
dc.description.abstractPurpose: To evaluate the efficacy of computer algorithms in the detection and grading of retinopathy derived from screening of diabetic photographs. Methods: Screening fundus photographs (5 per eye) taken with a mydriatic camera in a general ophthalmology clinic for 52 sequential diabetic patients were graded by a general ophthalmologist and a retina specialist and compared with computer grading of digitized images acquired from color slides. Results: Among the 104 eyes, 64 (61.5%) had no retinopathy lesions (Grade 10), 6 (5.8%) eyes had only 1 or 2 microaneurysms, 21 (20.2%) eyes had more than 2 microaneurysms but no other lesions (grade 21), and 18 (17.3%) had additional lesions (grade 21+). Among the ophthalmologists, there was exact agreement in the grading of 76 eyes; in 21 eyes grading by each was within 1 grade level, and in 7 the grades differed by 2 grade levels. Computer algorithm grading agreed with the ophthalmologists' grade in 51 (50%) eyes; in 24 (23%) eyes the computer under-graded by one grade level, and by 2 grades in 2 eyes. In 22 (21%) eyes, computer grading was greater by one grade level than the ophthalmologists' grading and in 5 (5%) eyes the algorithms overgraded by 2 grades. Conclusions: Computer algorithms were able to detect and grade retinopathy from fundus photographs taken of a set of sequentially screened diabetics with consistency similar to the agreement in grading between a general ophthalmologist and a retina specialist.en_US
dc.identifier.endpage119en_US
dc.identifier.issn1300-1256
dc.identifier.issue2en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage114en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12684/120
dc.identifier.volume17en_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.ispartofRetina-Vitreusen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectComputer algorithm; Diabetic retinopathy; Digitized fundus photographs; Screeningen_US
dc.titleAutomated computer system grading of diabetic retinopathy from fundus photographsen_US
dc.typeArticleen_US

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