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Machine learning methods for classifying mammographic regions using the wavelet transform and radiomic texture features

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dc.contributor.authorRincón J.S.
dc.contributor.authorCastro-Ospina A.E.
dc.contributor.authorNarváez F.R.
dc.contributor.authorDíaz G.M.
dc.date.accessioned2020-08-28T22:27:40Z
dc.date.available2020-08-28T22:27:40Z
dc.date.issued2019
dc.identifier.doi10.1007/978-3-030-05532-5_47
dc.identifier.urihttps://hdl.handle.net/20.500.12622/3212
dc.relation.citationendpage629
dc.relation.citationstartpage617
dc.relation.citationvolume895
dc.rights.accessrightsinfo:eu-repo/semantics/closedAccess
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85059779247&doi=10.1007%2f978-3-030-05532-5_47&partnerID=40&md5=aa058f0c064063e8c3855083216f07cb
dc.titleMachine learning methods for classifying mammographic regions using the wavelet transform and radiomic texture featuresspa
dc.title.alternativeCommunications in Computer and Information Science
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication

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