Results of automated retinal image analysis for detection of diabetic retinopathy from the nakuru study, Kenya

PLoS ONE

Volumn 10, Issue 10, 2015, Pages

  Hansen, Morten B ^a,b   Abramoff, Michael D ^c   Folk, James C ^c   Mathenge, Wanjiku ^d   Bastawrous, Andrew ^e   Peto, Tunde ^a  

^a MOORFIELDS EYE HOSPITAL   (United Kingdom)

^b UNIVERSITY OF SOUTHERN DENMARK   (Denmark)

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

^d Rwanda International Institute of Ophthalmology   (Rwanda)

^e LONDON SCHOOL OF HYGIENE AND TROPICAL MEDICINE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; AUTOMATION; COMPUTER PROGRAM; CONTROLLED STUDY; DIABETIC RETINOPATHY; DIAGNOSTIC IMAGING; DIAGNOSTIC TEST; DIAGNOSTIC TEST ACCURACY STUDY; DIGITAL RETINAL IMAGING; DISEASE ASSOCIATION; FALSE NEGATIVE RESULT; HUMAN; HUMAN GRADING; IMAGE ANALYSIS; IMAGING AND DISPLAY; IOWA DETECTION PROGRAM; KENYA; MAJOR CLINICAL STUDY; OUTCOME ASSESSMENT; PREDICTIVE VALUE; SENSITIVITY AND SPECIFICITY; IMAGE PROCESSING; MOLECULAR IMAGING; RETINA; SOFTWARE;

AUTOMATION; DIABETIC RETINOPATHY; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; KENYA; MOLECULAR IMAGING; RETINA; SOFTWARE;

EID: 84947278492     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0139148     Document Type: Article

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