A comparative study on feature selection for retinal vessel segmentation using fabc

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

Volumn 5702 LNCS, Issue , 2009, Pages 655-662

  Lupaşcu, Carmen Alina ^a   Tegolo, Domenico ^a   Trucco, Emanuele ^b  

^a UNIVERSITY OF PALERMO   (Italy)

^b UNIVERSITY OF DUNDEE   (United Kingdom)

Author keywords

AdaBoost classifier; Feature selection; Retinal images; Vessel segmentation

Indexed keywords

ADABOOST; ADABOOST CLASSIFIER; COMPARATIVE STUDIES; FEATURE SELECTION; FEATURE SELECTION METHODS; FEATURE VECTORS; FIELD OF VIEWS; LOCAL INFORMATION; RETINAL IMAGE; RETINAL IMAGES; RETINAL VESSELS; VESSEL SEGMENTATION;

CLASSIFIERS; IMAGE ANALYSIS; IMAGE RETRIEVAL; LEARNING SYSTEMS; OPHTHALMOLOGY;

ADAPTIVE BOOSTING;

EID: 70349309743     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-03767-2_80     Document Type: Conference Paper

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