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NEURAL NETWORK AND CONVOLUTIONAL ALGORITH TO EXTRACT SHAPES BY E-MEDICUS APPLICATION

cris.lastimport.scopus2024-09-19T01:31:19Z
dc.abstract.enThe solution shows the architecture of the system collecting and analyzing data. There was tried to develop algorithms to image segmentation. These algorithms are needed to identify arbitrary number of phases for the segmentation problem. With the use of algorithms such as the level set method, neural networks and deep learning methods, it can obtain a quicker diagnosis and automatically marking areas of the interest region in medical images.
dc.affiliationTransportu i Informatyki
dc.contributor.authorTomasz Rymarczyk
dc.contributor.authorBarbara Stefaniak
dc.contributor.authorPrzemysław Adamkiewicz
dc.date.accessioned2024-05-10T07:22:38Z
dc.date.available2024-05-10T07:22:38Z
dc.date.issued2018
dc.identifier.doi10.5604/01.3001.0012.5282
dc.identifier.issn2083-0157
dc.identifier.issn2391-6761
dc.identifier.urihttps://repo.akademiawsei.eu/handle/item/305
dc.languageen
dc.pbn.affiliationinformation and communication technology
dc.relation.ispartofInformatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska
dc.rightsCC-BY-SA
dc.subject.enimage analysis
dc.subject.enlevel set method
dc.subject.enartificial intelligence algorithms
dc.titleNEURAL NETWORK AND CONVOLUTIONAL ALGORITH TO EXTRACT SHAPES BY E-MEDICUS APPLICATION
dc.typeReviewArticle
dspace.entity.typePublication
oaire.citation.issue3
oaire.citation.volume8