Retinal vessel classification: Sorting arteries and veins

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2013, Pages 7396-7399

  Relan, D ^a   Macgillivray, T ^a   Ballerini, L ^b   Trucco, E ^b  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

^b UNIVERSITY OF DUNDEE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ACCURACY; CLASSIFICATION METHODS; COLOUR FEATURES; CORRECTED IMAGE; EXPECTATION MAXIMIZATION; GAUSSIAN MIXTURE MODEL; PERFORMANCE PARAMETERS; RETINAL VASCULATURE;

ENGINEERING; INDUSTRIAL ENGINEERING;

EYE PROTECTION;

BIOLOGICAL MARKER;

ALGORITHM; ARTERY; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; COMPUTER PROGRAM; HUMAN; IMAGE PROCESSING; NORMAL DISTRIBUTION; PATHOLOGY; PREDICTIVE VALUE; PROCEDURES; REPRODUCIBILITY; RETINA; RETINA BLOOD VESSEL; SENSITIVITY AND SPECIFICITY; VEIN;

ALGORITHMS; ARTERIES; BIOLOGICAL MARKERS; CLUSTER ANALYSIS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; NORMAL DISTRIBUTION; PATTERN RECOGNITION, AUTOMATED; PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS; RETINA; RETINAL VESSELS; SENSITIVITY AND SPECIFICITY; SOFTWARE; VEINS;

EID: 84886532429     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2013.6611267     Document Type: Conference Paper

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