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 | |