Automatic vessel network features quantification using local vessel pattern operator

Computers in Biology and Medicine

Volumn 43, Issue 5, 2013, Pages 587-593

  Fathi, Abdolhossein ^a   Naghsh Nilchi, Ahmad Reza ^b   Mohammadi, Fardin Abdali ^a  

^a RAZI UNIVERSITY   (Iran)

^b UNIVERSITY OF ISFAHAN   (Iran)

Author keywords

Local vessel pattern operator; Vessel diameter estimation; Vessel landmark detection; Vessel orientation detection

Indexed keywords

AUTOMATIC MEASUREMENTS; LANDMARK DETECTION; LOCAL VESSEL PATTERN OPERATOR; ORIENTATION DETECTIONS; ROBUST METHODS; STATE-OF-THE-ART APPROACH; VESSEL DIAMETER; VESSEL NETWORKS;

BIFURCATION (MATHEMATICS); BLOOD VESSELS; COMPUTER AIDED DIAGNOSIS;

MEASUREMENTS;

ACCURACY; ALGORITHM; ARTICLE; AUTOANALYSIS; BLOOD VESSEL DIAMETER; DATA BASE; EYE FUNDUS; HUMAN; IMAGE PROCESSING; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; RETINA ARTERY; RETINA BLOOD VESSEL; RETINA VEIN; SENSITIVITY AND SPECIFICITY; VALIDATION PROCESS;

ALGORITHMS; DATABASES, FACTUAL; DIAGNOSTIC TECHNIQUES, OPHTHALMOLOGICAL; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; RETINAL DISEASES; RETINAL VESSELS;

EID: 84875950844     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2013.01.011     Document Type: Article

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