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The RSNA Lumbar Degenerative Imaging Spine Classification (LumbarDISC) dataset

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dc.contributor.coauthorRichards T.J.
dc.contributor.coauthorFlanders A.E.
dc.contributor.coauthorColak E
dc.contributor.coauthorPrevedello L.M.
dc.contributor.coauthorBall R.L.
dc.contributor.coauthorKitamura F
dc.contributor.coauthorMongan J
dc.contributor.coauthorVazirabad M
dc.contributor.coauthorLin H.M.
dc.contributor.coauthorKendell A
dc.contributor.coauthorKanthawang T
dc.contributor.coauthorAngkurawaranon S
dc.contributor.coauthorKuriki P.E.A.
dc.contributor.coauthorSomasundaram A
dc.contributor.coauthorRushton C
dc.contributor.coauthorBulja D
dc.contributor.coauthorSpahović N
dc.contributor.coauthorSommer J
dc.contributor.coauthorJiang S
dc.contributor.coauthorJúdice de Mattos Farina E.M.
dc.contributor.coauthorCaminha Nunes E
dc.contributor.coauthorBrassil M
dc.contributor.coauthorMcNamara M
dc.contributor.coauthorOrtiz J
dc.contributor.coauthorPeoples J
dc.contributor.coauthorUytana V.L.
dc.contributor.coauthorKam A
dc.contributor.coauthorDola V.N.S.
dc.contributor.coauthorMurphy D
dc.contributor.coauthorVu D
dc.contributor.coauthorTalbott J.F.
dc.contributor.coauthorFor Dataset Contributor Group
dc.contributor.coauthorFor Dataset Annotator Group
dc.contributor.coauthorFor Competition Data Notebook and Curation Group
dc.contributor.coauthorDataset Contributor Group
dc.contributor.coauthorDataset Annotator Group
dc.contributor.coauthorCompetition Data Notebook and Curation Group
dc.contributor.departmentSchool of Medicine
dc.contributor.kuauthorDoğan, Hakan
dc.contributor.kuauthorAltınmakas, Emre
dc.contributor.schoolcollegeinstituteSCHOOL OF MEDICINE
dc.date.accessioned2026-02-26T07:13:05Z
dc.date.available2026-02-25
dc.date.issued2026
dc.description.abstractThe RSNA Lumbar Degenerative Imaging Spine Classification dataset is the largest publicly available adult MRI lumbar spine dataset for degenerative disease. The dataset includes multisequence, multiplanar MRIs from 2,697 patients through contributions from 8 institutions across 6 countries and 5 continents
dc.description.fulltextNo
dc.description.harvestedfromManual
dc.description.indexedbyPubMed
dc.description.openaccessN/A
dc.description.peerreviewstatusN/A
dc.description.publisherscopeInternational
dc.description.readpublishN/A
dc.description.sponsoredbyTubitakEuN/A
dc.description.versionN/A
dc.identifier.doi10.1148/ryai.250480
dc.identifier.embargoNo
dc.identifier.issn2638-6100
dc.identifier.pubmed41532835
dc.identifier.quartileBakılacak
dc.identifier.urihttps://doi.org/10.1148/ryai.250480
dc.identifier.urihttps://hdl.handle.net/20.500.14288/32494
dc.keywordsRSNA LumbarDISC dataset
dc.keywordsMRI lumbar spine
dc.keywordsDegenerative stenosis
dc.keywordsSpinal canal
dc.keywordsNeural foraminal
dc.keywordsSubarticular recess
dc.keywordsAnnotation
dc.keywordsTraining set
dc.keywordsPublic test set
dc.keywordsPrivate test set
dc.keywordsMirroring technique
dc.language.isoeng
dc.publisherRadiological Society of North America
dc.relation.affiliationKoç University
dc.relation.collectionKoç University Institutional Repository
dc.relation.ispartofRadiology: Artificial Intelligence
dc.relation.openaccessNo
dc.rightsCopyrighted
dc.subjectMedicine
dc.titleThe RSNA Lumbar Degenerative Imaging Spine Classification (LumbarDISC) dataset
dc.typeJournal Article
dspace.entity.typePublication
relation.isOrgUnitOfPublicationd02929e1-2a70-44f0-ae17-7819f587bedd
relation.isOrgUnitOfPublication.latestForDiscoveryd02929e1-2a70-44f0-ae17-7819f587bedd
relation.isParentOrgUnitOfPublication17f2dc8e-6e54-4fa8-b5e0-d6415123a93e
relation.isParentOrgUnitOfPublication.latestForDiscovery17f2dc8e-6e54-4fa8-b5e0-d6415123a93e

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