Artificial intelligence with big data analytics-based brain intracranial hemorrhage e-diagnosis using CT images

dc.contributor.author	Mansour, R. F.
dc.contributor.author	Escorcia Gutiérrez, J.
dc.contributor.author	Gamarra, M.
dc.contributor.author	García Díaz, Vicente
dc.contributor.author	Gupta, D.
dc.contributor.author	Kumar, S.
dc.date.accessioned	2021-11-18T12:24:21Z
dc.date.available	2021-11-18T12:24:21Z
dc.date.issued	2021
dc.identifier.citation	Neural Computing and Applications (2021); doi:10.1007/s00521-021-06240-y
dc.identifier.issn	0941-0643
dc.identifier.uri	http://hdl.handle.net/10651/61170
dc.description.sponsorship	This work is financially supported by the Ministry of Science and Higher Education of the Russian Federation (Government Order FENU-2020-0022).
dc.language.iso	eng
dc.relation.ispartof	Neural Computing and Applications
dc.rights	© The authors, under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108378811&doi=10.1007%2fs00521-021-06240-y&partnerID=40&md5=a9af9bb5cc8b7098085280774ba9bad3
dc.title	Artificial intelligence with big data analytics-based brain intracranial hemorrhage e-diagnosis using CT images
dc.type	journal article
dc.identifier.doi	10.1007/s00521-021-06240-y
dc.relation.publisherversion	http://dx.doi.org/10.1007/s00521-021-06240-y

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