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

dc.contributor.author	Rincón J.S.
dc.contributor.author	Castro-Ospina A.E.
dc.contributor.author	Narváez F.R.
dc.contributor.author	Díaz G.M.
dc.date.accessioned	2020-08-28T22:27:40Z
dc.date.available	2020-08-28T22:27:40Z
dc.date.issued	2019
dc.identifier.uri	http://hdl.handle.net/20.500.12622/3212
dc.source	Scopus
dc.source.uri	https://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.title	Machine learning methods for classifying mammographic regions using the wavelet transform and radiomic texture features	spa
dc.title.alternative	Communications in Computer and Information Science
dc.type	info:eu-repo/semantics/conferenceObject
dc.rights.accessrights	info:eu-repo/semantics/closedAccess
dc.identifier.doi	10.1007/978-3-030-05532-5_47
dc.relation.citationvolume	895
dc.relation.citationstartpage	617
dc.relation.citationendpage	629
dc.type.version	info:eu-repo/semantics/publishedVersion

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