dc.creatorCardona A.
dc.creatorAriza-Jiménez L.
dc.creatorUribe D.
dc.creatorArroyave J.C.
dc.creatorGaleano J.
dc.creatorCortés-Mancera F.M.
dc.date.accessioned2020-08-28T22:28:05Z
dc.date.accessioned2022-09-29T12:43:00Z
dc.date.available2020-08-28T22:28:05Z
dc.date.available2022-09-29T12:43:00Z
dc.date.created2020-08-28T22:28:05Z
dc.date.issued2017
dc.identifierhttp://hdl.handle.net/20.500.12622/3456
dc.identifier10.1016/j.cmpb.2017.03.026
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3752225
dc.relation145
dc.relation23
dc.relation33
dc.sourceScopus
dc.sourcehttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85017551209&doi=10.1016%2fj.cmpb.2017.03.026&partnerID=40&md5=358d8939d87c266f3dba511e41051b28
dc.titleBio-EdIP: An automatic approach for in vitro cell confluence images quantification
dc.typeinfo:eu-repo/semantics/article


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