Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/10542
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dc.contributor.authorStanić Molcer P.en
dc.contributor.authorPaskaš M.en
dc.contributor.authorDelić, Vladoen
dc.contributor.authorReljin B.en
dc.date.accessioned2020-03-03T14:40:10Z-
dc.date.available2020-03-03T14:40:10Z-
dc.date.issued2010-12-30en
dc.identifier.isbn9781424473946en
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/10542-
dc.description.abstractBeside the measurement of flow velocity through mitral valve by pulsed Doppler, and measurement of velocity of myocardium by tissue Doppler imaging, estimation of diastolic function of left ventricle can also be made by measuring velocity of propagation of vortex using color Doppler M-mod imaging. Automated measurement has not become a practice yet because different methods produce different results and there has not been achieved a consensus about method to be applied. The goal of our research is to investigate the possibility of enchancement in automated estimation of propagation of left ventricular filling by implementing cellular neural network (CNN) in image preprocessing phase. ©2010 IEEE.en
dc.relation.ispartofSIISY 2010 - 8th IEEE International Symposium on Intelligent Systems and Informaticsen
dc.titleImplementation of cellular neural networks in image preprocessing for left ventricular filling velocity evaluationen
dc.typeConference Paperen
dc.identifier.doi10.1109/SISY.2010.5647136en
dc.identifier.scopus2-s2.0-78650547345en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/78650547345en
dc.relation.lastpage573en
dc.relation.firstpage569en
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.author.deptFakultet tehničkih nauka, Departman za energetiku, elektroniku i telekomunikacije-
crisitem.author.parentorgFakultet tehničkih nauka-
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