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A deep learning approach for brain tumor classification using MRI images

dc.contributor.authorAamir, Muhammad
dc.contributor.authorRahman, Ziaur
dc.contributor.authorDayo, Zaheer Ahmed
dc.contributor.authorAbro, Waheed Ahmed
dc.contributor.authorUddin, M. Irfan
dc.contributor.authorKhan, Inayat
dc.contributor.authorImran, Ali Shariq
dc.contributor.authorAli, Zafar
dc.contributor.authorIshfaq, Muhammad
dc.contributor.authorGuan, Yurong
dc.contributor.authorHu, Zhihua
dc.date.accessioned2023-04-11T20:33:37Z
dc.date.available2023-04-11T20:33:37Z
dc.date.created2022-09-02T14:46:06Z
dc.date.issued2022
dc.identifier.citationComputers and Electrical Engineering. 2022, 101 .en_US
dc.identifier.issn0045-7906
dc.identifier.urihttps://hdl.handle.net/11250/3062473
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.titleA deep learning approach for brain tumor classification using MRI imagesen_US
dc.title.alternativeA deep learning approach for brain tumor classification using MRI imagesen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionsubmittedVersionen_US
dc.source.pagenumber18en_US
dc.source.volume101en_US
dc.source.journalComputers and Electrical Engineeringen_US
dc.identifier.doi10.1016/j.compeleceng.2022.108105
dc.identifier.cristin2048371
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1


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