Model-based method for improving the accuracy and repeatability of estimating vascular bifurcations and crossovers from retinal fundus images

IEEE Transactions on Information Technology in Biomedicine

Volumn 8, Issue 2, 2004, Pages 122-130

  Tsai, Chia Ling ^a   Stewart, Charles V ^a   Tanenbaum, Howard L ^b   Roysam, Badrinath ^a  

^a RENSSELAER POLYTECHNIC INSTITUTE   (United States)

^b Center for Sight   (United States)

Author keywords

Bifurcations; Biomedical image analysis; Crossovers; Feature extraction; Feature refinement; Feature stability; Image registration; Landmarks; Mosaic synthesis; Retinal images

Indexed keywords

ALGORITHMS; FEATURE EXTRACTION; IMAGE ANALYSIS; ITERATIVE METHODS; MATHEMATICAL MODELS; OPHTHALMOLOGY; STATISTICS;

BIOMEDICAL IMAGE ANALYSIS; EXCLUSION REGION AND POSITION REFINEMENT; FEATURE REFINEMENT; FEATURE STABILITY; IMAGE REGISTRATION; LANDMARKS; MOSAIC SYNTHESIS; RETINAL FUNDUS; RETINAL IMAGES; VASCULAR BIFURCATIONS;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; CLINICAL TRIAL; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; FLUORESCENCE ANGIOGRAPHY; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; REPRODUCIBILITY; RETINA BLOOD VESSEL; SENSITIVITY AND SPECIFICITY; VALIDATION STUDY;

ALGORITHMS; FLUORESCEIN ANGIOGRAPHY; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, CARDIOVASCULAR; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; RETINAL VESSELS; SENSITIVITY AND SPECIFICITY;

EID: 3042642050     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2004.826733     Document Type: Article

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