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An ensemble learning approach for ai-based classification of paraganglioma/pheochromocytoma, low grade glioma, and glioblastoma tumors

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dc.contributor.authorSaliha Acar
dc.contributor.authorGıyasettin Özcan
dc.contributor.authorEyyüp Gülbandılar
dc.contributor.orcid0000-0002-1166-5919
dc.contributor.orcid0000-0001-5559-5281
dc.date.accessioned2026-05-20T09:59:18Z
dc.date.issued2024-01-01
dc.identifier.doi10.5137/1019-5149.jtn.46875-24.2
dc.identifier.endpage635
dc.identifier.issn1019-5149
dc.identifier.issue4
dc.identifier.openalexW4404725565
dc.identifier.startpage627
dc.identifier.urihttps://hdl.handle.net/11421/39151
dc.identifier.urihttp://dx.doi.org/10.5137/1019-5149.jtn.46875-24.2
dc.identifier.volume35
dc.language.isoen
dc.relation.ispartofTurkish Neurosurgery
dc.rightsopenAccess
dc.subjectMedicine
dc.subjectParaganglioma
dc.subjectPheochromocytoma
dc.subjectGlioblastoma
dc.subjectGlioma
dc.subjectOncology
dc.subjectRadiology
dc.subjectPathology
dc.subjectCancer research
dc.titleAn ensemble learning approach for ai-based classification of paraganglioma/pheochromocytoma, low grade glioma, and glioblastoma tumors
dspace.entity.typePublication

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