Retinal vessel segmentation using a probabilistic tracking method

Pattern Recognition

Volumn 45, Issue 4, 2012, Pages 1235-1244

  Yin, Yi ^a   Adel, Mouloud ^a   Bourennane, Salah ^a  

^a AIX MARSEILLE UNIVERSITÉ   (France)

Author keywords

Bayesian segmentation; Edge detection; Retinal image; Vessel tracking

Indexed keywords

BAYESIAN METHODS; BAYESIAN SEGMENTATION; EDGE POINT; EVALUATION PERFORMANCE; FALSE DETECTIONS; FALSE POSITIVE RATES; GAUSSIANS; GEOMETRIC SHAPE; GREY LEVELS; INTENSITY PROFILES; MATCHING FACTOR; MAXIMUM A POSTERIORI PROBABILITIES; NOISE LEVELS; QUALITY PARAMETERS; RETINAL BLOOD VESSELS; RETINAL IMAGE; RETINAL VASCULATURE; RETINAL VESSELS; ROC CURVES; SAMPLING SCHEMES; SIMULATED IMAGES; TRACKING METHOD; TRACKING PROCESS; TRUE POSITIVE RATES; VESSEL STRUCTURE; VESSEL TRACKING;

BAYESIAN NETWORKS; BLOOD; COMPUTER AIDED DIAGNOSIS; EDGE DETECTION; OPHTHALMOLOGY; QUALITY CONTROL;

BLOOD VESSELS;

EID: 83655163800     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2011.09.019     Document Type: Article

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