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dc.contributor.authorKaiponen, Juhana
dc.date.accessioned2024-03-22T07:39:52Z
dc.date.available2024-03-22
dc.date.issued2024-03-20
dc.identifier.urihttps://erepo.uef.fi/handle/123456789/31571
dc.language.isoen
dc.publisherItä-Suomen yliopistofi
dc.publisherUniversity of Eastern Finlanden
dc.subjectArtificial Intelligence
dc.subjectDeep Learning
dc.subjectIntracranial Aneurysm
dc.subjectMagnetic Resonance Angiography
dc.titleEvaluation of an intracranial segmentation method based on a convolutional neural network
dc.contributor.departmentLääketieteen laitosfi
dc.contributor.departmentSchool of Medicineen
dc.type.publicationinfo:eu-repo/semantics/masterThesis
dc.contributor.organizationTerveystieteiden tiedekunta, Lääketieteen laitosfi
dc.contributor.organizationFaculty of Health Sciences, School of Medicineen
dc.format.contentfulltext
dc.identifier.urnhttp://urn.fi/urn:nbn:fi:uef-20240239
dc.publisher.countryfi
dc.rights.accesslevelopenAccess
dc.type.ontasotPro gradufi
dc.type.ontasotMaster's thesisen
uef.publication.id22376
dc.contributor.facultyTerveystieteiden tiedekuntafi
dc.contributor.facultyFaculty of Health Sciencesen
dc.format.displayContentJulkaisun kokotekstifi
dc.format.displayContentFulltext of publicationen
dc.subject.disciplinelääketiedefi
dc.subject.disciplinemedicineen
dc.type.coarhttp://purl.org/eprint/type/Thesis
dc.type.displayTypeSyventävien opintojen opinnäytefi
dc.type.displayTypeMasters thesis in medicineen


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