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dc.contributor.authorRaj, ANJen
dc.contributor.authorZhu, Hen
dc.contributor.authorKhan, Aen
dc.contributor.authorZhuang, Zen
dc.contributor.authorYang, Zen
dc.contributor.authorMahesh, VGVen
dc.contributor.authorKarthik, Gen
dc.date.accessioned2020-12-08T11:27:06Z
dc.date.issued2021-01-26en
dc.identifier.issn2376-5992en
dc.identifier.othere349en
dc.identifier.urihttp://hdl.handle.net/10026.1/16723
dc.descriptionNo embargo required.en
dc.language.isoenen
dc.publisherPeerJen
dc.titleADID-UNET—a segmentation model for COVID-19 infection from lung CT scansen
dc.typeJournal Article
plymouth.volume7en
plymouth.publisher-urlhttps://peerj.com/computer-science/en
plymouth.journalPeerJ Computer Scienceen
dc.identifier.doi10.7717/peerj-cs.349en
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA12 Engineering
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dcterms.dateAccepted2020-12-08en
dc.rights.embargodate2021-03-25en
dc.rights.embargoperiodNot knownen
rioxxterms.versionofrecord10.7717/peerj-cs.349en
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2021-01-26en
rioxxterms.typeJournal Article/Reviewen


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