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dc.contributor.authorAzzopardi, George-
dc.contributor.authorStrisciuglio, Nicola-
dc.contributor.authorVento, Mario-
dc.contributor.authorPetkov, Nicolai-
dc.date.accessioned2018-02-02T09:33:10Z-
dc.date.available2018-02-02T09:33:10Z-
dc.date.issued2014-04-
dc.identifier.citationAzzopardi, G., Strisciuglio, N., Vento, M., & Petkov, N. (2014). Vessels delineation in retinal images using COSFIRE filters. Machine Vision and Applications, 17(8), 1137-1149.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar//handle/123456789/26338-
dc.description.abstractRetinal image analysis is widely used in the medical community to diagnose several pathologies. The automatic analysis of such images is important to perform more ef-ficient diagnosis. We propose an effective method for the delineation of blood vessels in retinal images using train-able bar-selective COSFIRE filters. The results that we achieve on three publicly available data sets (DRIVE: Se = 0.7655, Sp = 0.9704; STARE: Se = 0.7763, Sp = 0.9695; CHASE DB1: Se = 0.7699, Sp = 0.9476) demonstrate the effectiveness of the proposed approach.en_GB
dc.language.isoenen_GB
dc.publisherSpringer Verlagen_GB
dc.rightsinfo:eu-repo/semantics/openAccessen_GB
dc.subjectPattern recognition systemsen_GB
dc.subjectRetina -- Imagingen_GB
dc.titleVessels delineation in retinal images using COSFIRE filtersen_GB
dc.typearticleen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.description.reviewedpeer-revieweden_GB
dc.identifier.doi10.1007/s00138-016-0781-7-
dc.publication.titleMachine Vision and Applicationsen_GB
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