Evaluation of a system for automatic detection of diabetic retinopathy from color fundus photographs in a large population of patients with diabetes

Diabetes Care

Volumn 31, Issue 2, 2008, Pages 193-198

  Abràmoff, Michael D ^a,b,c,f   Niemeijer, Meindert ^c,d   Suttorp Schulten, Maria S A ^e   Viergever, Max A ^d   Russell, Stephen R ^a,b   Van Ginneken, Bram ^d  

^a UNIVERSITY OF IOWA HOSPITALS AND CLINICS   (United States)

^b VETERANS AFFAIRS MEDICAL CENTER   (United States)

^c IA United States   (United States)

^d UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

^e ONZE LIEVE VROUWE GASTHUIS   (Netherlands)

^f UNIVERSITY OF IOWA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ALGORITHM; ARTICLE; CAMERA; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED STUDY; DIABETIC RETINOPATHY; DIAGNOSTIC ACCURACY; EYE EXAMINATION; EYE FUNDUS; FEMALE; HUMAN; IMAGE QUALITY; MAJOR CLINICAL STUDY; MALE; NEOVASCULARIZATION (PATHOLOGY); OUTCOME ASSESSMENT; PHOTOGRAPHY; RETINA HEMORRHAGE;

ALGORITHMS; DIABETES MELLITUS; DIABETIC RETINOPATHY; EYE DISEASES; FLUORESCEIN ANGIOGRAPHY; HUMANS; PATIENT SELECTION; REPRODUCIBILITY OF RESULTS; RETINA; RETROSPECTIVE STUDIES; SENSITIVITY AND SPECIFICITY;

EID: 38949216071     PISSN: 01495992     EISSN: 01495992     Source Type: Journal    
DOI: 10.2337/dc07-1312     Document Type: Article

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