Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/19016
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dc.contributor.authorTrojachanec, Katarinaen_US
dc.contributor.authorMadzarov, Gjorgjien_US
dc.contributor.authorLoshkovska, Suzanaen_US
dc.date.accessioned2022-06-17T12:43:26Z-
dc.date.available2022-06-17T12:43:26Z-
dc.date.issued2010-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/19016-
dc.description.abstractThe main goal of this paper is to propose and investigate a three-stage hierarchical classification scheme. The proposed scheme was examined on the dataset of magnetic resonance images. The experimental results obtained from the classification with the proposed method outperformed the results provided by the flat classification and the two-stage hierarchical classification examined in our previous work. According to this, we can conclude that the proposed method is more suitable for solving MRI classification problem.en_US
dc.relation.ispartofSarcomaen_US
dc.subjectMagnetic Resonance Imaging (MRI), feature extraction, image classification, hierarchical classificationen_US
dc.titleTowards improving magnetic resonance image classificationen_US
dc.typeJournal Articleen_US
item.fulltextWith Fulltext-
item.grantfulltextopen-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles
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