Simultaneously identifying all true vessels from segmented retinal images

IEEE Transactions on Biomedical Engineering

Volumn 60, Issue 7, 2013, Pages 1851-1858

  Lau, Qiangfeng Peter ^a   Lee, Mong Li ^a   Hsu, Wynne ^a   Wong, Tien Yin ^b  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b SINGAPORE EYE RESEARCH INSTITUTE   (Singapore)

Author keywords

Ophthalmology; optimal vessel forest; retinal image analysis; simultaneous vessel identification; vascular structure

Indexed keywords

ACTUAL MEASUREMENTS; CARDIO-VASCULAR DISEASE; OPTIMAL VESSEL FOREST; OPTIMIZATION PROBLEMS; RETINAL BLOOD VESSELS; RETINAL IMAGE ANALYSIS; VASCULAR STRUCTURES; VESSEL IDENTIFICATION;

DATA PROCESSING; DIAGNOSIS; FORESTRY; MORPHOLOGY; OPHTHALMOLOGY; OPTIMIZATION;

PROBLEM SOLVING;

ACCURACY; ALGORITHM; ARTICLE; HUMAN; IMAGE ANALYSIS; MORPHOLOGY; OPTIC DISK; RETINA BLOOD VESSEL; RETINA IMAGE;

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

ANATOMY; DATA PROCESSING; DIAGNOSIS; FORESTRY; IMAGE ANALYSIS; OPTIMIZATION; PROBLEM SOLVING;

EID: 84879899337     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2013.2243447     Document Type: Article

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