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Mini-COVIDNet: Efficient Lightweight Deep Neural Network for Ultrasound Based Point-of-Care Detection of COVID-19

dc.contributor.authorAwasthi, Navchetan
dc.contributor.authorDayal, Aveen
dc.contributor.authorCenkeramaddi, Linga Reddy
dc.contributor.authorYalavarthy, Phaneendra K.
dc.date.accessioned2022-03-31T13:19:16Z
dc.date.available2022-03-31T13:19:16Z
dc.date.created2021-06-04T15:22:34Z
dc.date.issued2021
dc.identifier.citationAwasthi, N., Dayal, A., Cenkeramaddi, L.R. & Yalavarthy, P.K. (2021) Mini-COVIDNet: Efficient Lightweight Deep Neural Network for Ultrasound Based Point-of-Care Detection of COVID-19 IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control. 2021, 68 (6), 2023-2037.en_US
dc.identifier.issn0885-3010
dc.identifier.urihttps://hdl.handle.net/11250/2988906
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.titleMini-COVIDNet: Efficient Lightweight Deep Neural Network for Ultrasound Based Point-of-Care Detection of COVID-19en_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionsubmittedVersionen_US
dc.rights.holder© 2021 The Author(s)en_US
dc.subject.nsiVDP::Technology: 500en_US
dc.source.pagenumber2023-2037en_US
dc.source.volume68en_US
dc.source.journalIEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Controlen_US
dc.source.issue6en_US
dc.identifier.doi10.1109/TUFFC.2021.3068190
dc.identifier.cristin1913820
dc.relation.projectNorges forskningsråd: 287918en_US
cristin.qualitycode1


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