Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/14093
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dc.contributor.authorMilošević, Nebojšaen_US
dc.contributor.authorOlujić, Majaen_US
dc.contributor.authorOros, Anaen_US
dc.contributor.authorJelinek, Herberten_US
dc.date.accessioned2020-03-03T14:54:52Z-
dc.date.available2020-03-03T14:54:52Z-
dc.date.issued2013-01-01-
dc.identifier.isbn9783642325472en_US
dc.identifier.issn21945357en_US
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/14093-
dc.description.abstractRetinopathy of prematurity is a potentially blinding proliferative disease of the retinal vasculature that affects premature infants with low birth weights. This paper explores the possibility of applying fractal analysis to images of blood vessels in the human retinae with three types of retinopathy. Although the fractal analysis suggests that the retinal images with different grade of retinopathy are more complex than those without retinopathy, this technique cannot completely distinguish retinal vessels in a patient with inactive and active retinopathy. Furthermore, the fractal dimension of retinal images in children with diagnosed aggressive retinopathy is higher than the fractal dimensions of the same images after laser surgery. Our results lead to the conclusion that the blood vessels in the retinae with aggressive retinopathy are more complex, irregular in shape and have a higher degree of vessel aberration than those vessels with 'typical' retinopathy.en
dc.relation.ispartofAdvances in Intelligent Systems and Computingen
dc.titleRetinopathy of prematurity: Fractal analysis of images in different stages of the diseaseen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.doi10.1007/978-3-642-32548-9-7-
dc.identifier.scopus2-s2.0-84867946902-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/84867946902-
dc.description.versionUnknownen_US
dc.relation.lastpage101en
dc.relation.firstpage91en
dc.relation.volume187 AISCen
item.grantfulltextnone-
item.fulltextNo Fulltext-
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