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dc.contributor.authorKadlas, Matyáš
dc.date.accessioned2020-05-07T09:40:26Z
dc.date.available2020-05-07T09:40:26Z
dc.date.issued2017cs
dc.identifier.citationProceedings of the 23st Conference STUDENT EEICT 2017. s. 140-142. ISBN 978-80-214-5496-5cs
dc.identifier.isbn978-80-214-5496-5
dc.identifier.urihttp://hdl.handle.net/11012/187062
dc.description.abstractThis paper deals with detection and visualization of blood vessels pulsation in retinal sequences. Absence of blood vessels pulsation can help to identify different diseases, including brain tumor and glaucoma. The proposed method uses principal component analysis to analyze variability in video sequences which include blood vessels pulsations. First results show that this approach can be used for robust visualization of retinal vein pulsation.en
dc.formattextcs
dc.format.extent140-142cs
dc.format.mimetypeapplication/pdfen
dc.language.isocscs
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.subjectRetinaen
dc.subjectprincipal component analysisen
dc.subjectspontaneous venous pulsationen
dc.titleVisualization Of Blood Vessels Pulsation In Retinal Sequencesen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
but.event.date27.04.2017cs
but.event.titleStudent EEICT 2017cs
dc.rights.accessopenAccessen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionPublishers's versionen


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