Detection of retinal vascular bifurcations by trainable V4-like filters

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6854 LNCS, Issue PART 1, 2011, Pages 451-459

  Azzopardi, George ^a   Petkov, Nicolai ^a  

^a UNIVERSITY OF GRONINGEN   (Netherlands)

Author keywords

DRIVE; Gabor filters; retinal fundus; trainable filters; V4 neurons; vessel bifurcation

Indexed keywords

AREA V4; AUTOMATIC ANALYSIS; BIFURCATION FEATURES; CARDIO-VASCULAR DISEASE; DETECTION RATES; FUNDUS IMAGE; GABOR FILTER; PRECISION RATES; RETINAL FUNDUS; TRAINING IMAGE; VISUAL CORTEXES; RETINAL FUNDUS IMAGES;

ALDEHYDES; DRIVES; FEATURE EXTRACTION; IMAGE ANALYSIS; OPHTHALMOLOGY; BIFURCATION (MATHEMATICS); BINARY IMAGES;

BIFURCATION (MATHEMATICS); GABOR FILTERS;

EID: 80052792361     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23672-3_55     Document Type: Conference Paper

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