Segmentation of retinal blood vessels using a novel clustering algorithm (RACAL) with a partial supervision strategy

Medical and Biological Engineering and Computing

Volumn 45, Issue 3, 2007, Pages 261-273

  Salem, Sameh A ^a   Salem, Nancy M ^a   Nandi, Asoke K ^a  

^a UNIVERSITY OF LIVERPOOL   (United Kingdom)

Author keywords

Clustering; Feature extraction; KNN classifier; Retinal imaging

Indexed keywords

BLOOD VESSELS; CLUSTERING ALGORITHMS; FEATURE EXTRACTION; IMAGE CLASSIFICATION; IMAGE SEGMENTATION; VISION;

RADIUS BASED CLUSTERING ALGORITHM; RETINAL IMAGING;

MEDICAL IMAGING;

ARTICLE; AUTOMATION; BLOOD VESSEL DIAMETER; CLASSIFICATION ALGORITHM; CLINICAL SUPERVISION; CLUSTER ANALYSIS; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC VALUE; HUMAN; IMAGE ANALYSIS; IMAGE DISPLAY; IMAGE QUALITY; INTERMETHOD COMPARISON; RETINA BLOOD FLOW; RETINA BLOOD VESSEL; RETINA DISEASE; RETINA IMAGE;

ALGORITHMS; CLUSTER ANALYSIS; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; RETINAL DISEASES; RETINAL VESSELS;

EID: 33847641544     PISSN: 01400118     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11517-006-0141-2     Document Type: Article

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