Automatic identification of retinal arteries and veins from dual-wavelength images using structural and functional features

IEEE Transactions on Biomedical Engineering

Volumn 54, Issue 8, 2007, Pages 1427-1435

  Narasimha Iyer, Harihar ^a   Beach, James M ^b,c   Khoobehi, Bahram ^b   Roysam, Badrinath ^d  

^a CARL ZEISS SMT AG   (Germany)

^b LSU EYE CENTER   (United States)

^c STENNIS SPACE CENTER   (United States)

^d RENSSELAER POLYTECHNIC INSTITUTE   (United States)

Author keywords

Automated image analysis; Automatic identification; Retinal oximetry; Structural and functional features; Vessel profile modeling; Vessel type

Indexed keywords

AUTOMATED IMAGE ANALYSIS; AUTOMATIC IDENTIFICATION; RETINAL OXIMETRY; RETINAL VESSEL OXIMETRY; VESSEL PROFILE MODELING;

ALGORITHMS; BLOOD VESSELS; DENSITY (OPTICAL); SUPPORT VECTOR MACHINES; WAVELENGTH;

IMAGE ANALYSIS;

ARTERIAL BLOOD; ARTICLE; BLOOD VESSEL; IMAGE ANALYSIS; IMAGING SYSTEM; MATHEMATICAL MODEL; NORMAL DISTRIBUTION; OXIMETRY; RETINA ARTERY; RETINA BLOOD VESSEL; RETINA VEIN; SUPPORT VECTOR MACHINE;

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

EID: 34447550498     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2007.900804     Document Type: Article

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