Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/119015
DC FieldValueLanguage
dc.contributor.authorHasal, Martinen_US
dc.contributor.authorNowaková, Janaen_US
dc.contributor.authorHernández-Sosa, Danielen_US
dc.contributor.authorTimkovič, Jurajen_US
dc.date.accessioned2022-10-24T08:07:16Z-
dc.date.available2022-10-24T08:07:16Z-
dc.date.issued2022en_US
dc.identifier.isbn978-3-031-14626-8en_US
dc.identifier.issn2367-3370en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/119015-
dc.description.abstractRetinopathy of prematurity (ROP) is an ocular disease caused by abnormal retinal blood vessel growth of premature infants. All premature infants who fall within a screening protocol (birth weight less than 1500 g and gestational age below 32 weeks) are diagnosed by an ophthalmological specialist for ROP. Early recognition of ROP and other diseases of premature infants leads to better treatment. The examination is provided by special cameras, which take a snapshot of the posterior segment of the eye (fundus). The taken retinal images are not always perfect. The images can be dark, with low contrast, or difficult to distinguish necessary patterns for diagnosis. This article examines the image enhancement methods of the fundus, such as transformation to green or grayscale channel, adaptive histogram equalisation methods, Gaussian smoothing, and contrast enhancement. These methods improve the image quality in computer-aided diagnosis of the fundus of prematurely born infants.en_US
dc.languageengen_US
dc.publisherSpringeren_US
dc.relation.ispartofLecture Notes in Networks and Systemsen_US
dc.sourceLecture Notes in Networks and Systems [ISSN 2367-3370], v. 527 LNNS, p. 422-431, (Enero 2022)en_US
dc.subject1203 Ciencia de los ordenadoresen_US
dc.subject220990 Tratamiento digital. Imágenesen_US
dc.titleImage Enhancement in Retinopathy of Prematurityen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conference14th International Conference on Intelligent Networking and Collaborative Systems, INCoS 2022en_US
dc.identifier.doi10.1007/978-3-031-14627-5_43en_US
dc.identifier.scopus85137063759-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.authorscopusid55907450400-
dc.contributor.authorscopusid55325703300-
dc.contributor.authorscopusid6507124168-
dc.contributor.authorscopusid36443085300-
dc.identifier.eissn2367-3389-
dc.description.lastpage431en_US
dc.description.firstpage422en_US
dc.relation.volume527 LNNSen_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.identifier.eisbn978-3-031-14627-5-
dc.utils.revisionen_US
dc.date.coverdateEnero 2022en_US
dc.identifier.conferenceidevents149099-
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-INFen_US
dc.description.sjr0,151-
dc.description.sjrqQ4-
dc.description.miaricds4,3-
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Robótica y Oceanografía Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0003-3022-7698-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameHernández Sosa, José Daniel-
crisitem.event.eventsstartdate06-09-2010-
crisitem.event.eventsenddate08-09-2010-
Appears in Collections:Actas de congresos
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