Computer-based detection of diabetes retinopathy stages using digital fundus images

Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine

Volumn 223, Issue 5, 2009, Pages 545-553

  Acharya, U R ^a   Lim, C M ^a   Ng, E Y K ^b   Chee, C ^c   Tamura, T ^d  

^a DEPARTMENT OF ELECTRONICS AND COMPUTER ENGINEERING   (Singapore)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^c NATIONAL UNIVERSITY HOSPITAL   (Singapore)

^d CHIBA UNIVERSITY   (Japan)

Author keywords

Diabetes; Exudates; Eye; Haemorrhages; Image; Microaneurysms; Morphology; Retinopathy; Support vector machine

Indexed keywords

DIABETES; EXUDATES; EYE; HAEMORRHAGES; IMAGE; MICROANEURYSMS; RETINOPATHY;

BLOOD VESSELS; DIAGNOSIS; IMAGE ENHANCEMENT; IMAGE RETRIEVAL; MORPHOLOGY; OPHTHALMOLOGY; SUGAR (SUCROSE); SUPPORT VECTOR MACHINES; COST EFFECTIVENESS; IMAGE PROCESSING; MEDICAL PROBLEMS;

EYE PROTECTION;

ADULT; AGED; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; DIABETIC RETINOPATHY; EVALUATION; FEMALE; HUMAN; IMAGE ENHANCEMENT; MALE; METHODOLOGY; MIDDLE AGED; PATHOLOGY; REPRODUCIBILITY; RETINOSCOPY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING;

ADULT; AGED; ALGORITHMS; ARTIFICIAL INTELLIGENCE; DIABETIC RETINOPATHY; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; RETINOSCOPY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 67650694928     PISSN: 09544119     EISSN: None     Source Type: Journal    
DOI: 10.1243/09544119JEIM486     Document Type: Article

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