Automated Detection Of Retinal Venous Pulsations From Video Sequences

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but.event.date27.04.2017cs
but.event.titleStudent EEICT 2017cs
dc.contributor.authorHracho, Michal
dc.date.accessioned2020-05-07T09:40:34Z
dc.date.available2020-05-07T09:40:34Z
dc.date.issued2017cs
dc.description.abstractThe aim of this paper is to propose a method of automated detection and parametrization of spontaneous venous pulsations, that can occur in patients with various degrees of glaucoma. The method uses uncompressed video sequences acquired from fundus video-ophthalmoscope. A parameter of pulsation is then acquired and tested for correlation with occurrence of spontaneous venous pulsations.en
dc.formattextcs
dc.format.extent670-674cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings of the 25st Conference STUDENT EEICT 2019. s. 670-674. ISBN 978-80-214-5735-5cs
dc.identifier.isbn978-80-214-5496-5
dc.identifier.urihttp://hdl.handle.net/11012/187187
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings of the 23st Conference STUDENT EEICT 2017en
dc.relation.urihttp://www.feec.vutbr.cz/EEICT/cs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectSpontaneous venous pulsationsen
dc.subjectimage processingen
dc.subjectretinal video sequencesen
dc.titleAutomated Detection Of Retinal Venous Pulsations From Video Sequencesen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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