Automated detection of diabetic retinopathy in digital retinal images: A tool for diabetic retinopathy screening

Diabetic Medicine

Volumn 21, Issue 1, 2004, Pages 84-90

  Usher, D ^a,b   Dumskyj, M ^c   Himaga, M ^a   Williamson, T H ^b   Nussey, S ^d   Boyce, J ^a  

^a KING'S COLLEGE LONDON   (United Kingdom)

^b ST THOMAS HOSPITAL   (United Kingdom)

^c ST GEORGE'S UNIVERSITY OF LONDON   (United Kingdom)

^d ROYAL FREE HOSPITAL   (United Kingdom)

Author keywords

Diabetic retinopathy; Image analysis; Neural network; Screening

Indexed keywords

ADULT; ARTICLE; AUTOMATION; CLINICAL TRIAL; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DIABETIC RETINOPATHY; DIAGNOSTIC ACCURACY; FEMALE; HUMAN; IMAGE ANALYSIS; MAJOR CLINICAL STUDY; MALE; POPULATION RESEARCH; RETINA IMAGE; RETINA MACULA LUTEA; STANDARDIZATION;

COLOR; DIABETIC RETINOPATHY; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; FLUORESCEIN ANGIOGRAPHY; HUMANS; IMAGE ENHANCEMENT; MALE; RETINA; SENSITIVITY AND SPECIFICITY; VISION SCREENING;

EID: 0842287204     PISSN: 07423071     EISSN: None     Source Type: Journal    
DOI: 10.1046/j.1464-5491.2003.01085.x     Document Type: Article

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