Bayesian method with spatial constraint for retinal vessel segmentation

Computational and Mathematical Methods in Medicine

Volumn 2013, Issue , 2013, Pages

  Xiao, Zhiyong ^a   Adel, Mouloud ^a   Bourennane, Salah ^a  

^a CNRS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; BLOOD VESSELS; DATABASE SYSTEMS; OPHTHALMOLOGY; PIXELS;

BAYESIAN METHODS; ENERGY FUNCTIONS; LEVEL SET APPROACH; POSTERIOR PROBABILITY; RETINAL IMAGE; RETINAL VESSEL SEGMENTATIONS; SPATIAL CONSTRAINTS; VESSEL SEGMENTATION;

IMAGE SEGMENTATION;

ACCURACY; ALGORITHM; ARTICLE; BAYES THEOREM; CLINICAL EVALUATION; PROBABILITY; REFERENCE DATABASE; RETINA BLOOD VESSEL; RETINA IMAGE; SENSITIVITY AND SPECIFICITY; SPATIAL ANALYSIS; AUTOMATED PATTERN RECOGNITION; CARDIOVASCULAR DISEASE; COMPUTER ASSISTED DIAGNOSIS; EVALUATION STUDY; EYE DISEASE; FACTUAL DATABASE; HISTOLOGY; HUMAN; METHODOLOGY; NORMAL DISTRIBUTION; PATHOLOGY; STATISTICAL MODEL; STATISTICS; VISUAL SYSTEM EXAMINATION; ANATOMY AND HISTOLOGY; CARDIOVASCULAR DISEASES; EYE DISEASES; PROCEDURES; STATISTICS AND NUMERICAL DATA;

ALGORITHMS; BAYES THEOREM; CARDIOVASCULAR DISEASES; DATABASES, FACTUAL; DIAGNOSTIC TECHNIQUES, OPHTHALMOLOGICAL; EYE DISEASES; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LIKELIHOOD FUNCTIONS; NORMAL DISTRIBUTION; PATTERN RECOGNITION, AUTOMATED; RETINAL VESSELS;

EID: 84881516200     PISSN: 1748670X     EISSN: 17486718     Source Type: Journal    
DOI: 10.1155/2013/401413     Document Type: Article

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