Contextual detection of diabetic pathology in wide-field retinal angiograms

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Volumn , Issue , 2008, Pages 5437-5440

  Buchanan, Colin R ^a   Trucco, Emanuele ^b  

^a HERIOT WATT UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF DUNDEE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE BOOSTING; BIOLOGY; KNOWLEDGE MANAGEMENT; OPHTHALMOLOGY;

ADABOOST LEARNING ALGORITHMS; ANGIOGRAPHIC IMAGES; CONTEXTUAL KNOWLEDGE; INTENSITY LEVELS; MANUAL ANNOTATION; NOVEL ALGORITHM; SCANNING LASER OPHTHALMOSCOPE; SPATIO TEMPORAL FEATURES;

PATHOLOGY;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; DIABETIC RETINOPATHY; FLUORESCENCE ANGIOGRAPHY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; PATHOLOGY; REPRODUCIBILITY; RETINOSCOPY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DIABETIC RETINOPATHY; FLUORESCEIN ANGIOGRAPHY; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; RETINOSCOPY; SENSITIVITY AND SPECIFICITY;

EID: 61849126800     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iembs.2008.4650444     Document Type: Conference Paper

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