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Re: Unenhanced CT texture analysis of clear cell renal cell carcinomas: a machine learning-based study for predicting histopathologic nuclear grade

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dc.contributor.coauthorKocak, B.
dc.contributor.coauthorDurmaz, E. S.
dc.contributor.coauthorAtes, E.
dc.contributor.coauthorKilickesmez, O.
dc.contributor.departmentKUH (Koç University Hospital)
dc.contributor.facultymemberNo
dc.contributor.kuauthorKaya, Özlem Korkmaz
dc.contributor.schoolcollegeinstituteKUH (KOÇ UNIVERSITY HOSPITAL)
dc.date.accessioned2024-11-09T23:00:40Z
dc.date.issued2019
dc.description.fulltextNo
dc.description.harvestedfromManual
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.openaccessYES
dc.description.peerreviewstatusN/A
dc.description.publisherscopeInternational
dc.description.readpublishN/A
dc.description.sponsoredbyTubitakEuN/A
dc.description.studentonlypublicationNo
dc.description.studentpublicationNo
dc.description.versionN/A
dc.identifier.doi10.1097/JU.0000000000000537
dc.identifier.eissn1527-3792
dc.identifier.embargoN/A
dc.identifier.endpage1078
dc.identifier.issn0022-5347
dc.identifier.issue6
dc.identifier.pubmed31524576
dc.identifier.quartileQ1
dc.identifier.scopus2-s2.0-85074674944
dc.identifier.startpage1077
dc.identifier.urihttps://doi.org/10.1097/JU.0000000000000537
dc.identifier.urihttps://hdl.handle.net/20.500.14288/8099
dc.identifier.volume202
dc.identifier.wos000500821400008
dc.keywordsClear cell renal cell carcinoma
dc.keywordsRenal cell carcinoma
dc.keywordsCT texture analysis
dc.keywordsComputed tomography
dc.keywordsUnenhanced CT
dc.keywordsMachine learning
dc.keywordsArtificial neural network
dc.keywordsLogistic regression
dc.keywordsFuhrman nuclear grade
dc.keywordsHistopathologic grading
dc.keywordsRadiomics
dc.keywordsQuantitative imaging
dc.keywordsTumor heterogeneity
dc.keywordsRenal mass characterization
dc.language.isoeng
dc.publisherWolters Kluwer
dc.relation.affiliationKoç University
dc.relation.collectionKoç University Institutional Repository
dc.relation.ispartofJournal of Urology
dc.relation.openaccessN/A
dc.rightsN/A
dc.subjectUrology
dc.subjectUrologic oncology
dc.subjectDiagnostic imaging
dc.subjectRadiology
dc.titleRe: Unenhanced CT texture analysis of clear cell renal cell carcinomas: a machine learning-based study for predicting histopathologic nuclear grade
dc.typeOther
dspace.entity.typePublication
local.contributor.kuauthorKaya, Özlem Korkmaz
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relation.isParentOrgUnitOfPublication055775c9-9efe-43ec-814f-f6d771fa6dee
relation.isParentOrgUnitOfPublication.latestForDiscovery055775c9-9efe-43ec-814f-f6d771fa6dee

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