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A recurrent neural network for rapid detection of delivery errors during real-time portal dosimetry

dc.contributor.authorBedford, JL
dc.contributor.authorHanson, IM
dc.date.accessioned2022-03-29T10:58:31Z
dc.date.available2022-03-29T10:58:31Z
dc.identifier.citationPhysics and Imaging in Radiation Oncologyen_US
dc.identifier.issn2405-6316
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/5052
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.titleA recurrent neural network for rapid detection of delivery errors during real-time portal dosimetryen_US
dc.typeJournal Article
dcterms.dateAccepted2022-03-28
rioxxterms.versionAMen_US
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0en_US
rioxxterms.licenseref.startdate2022-03-28
dc.relation.isPartOfPhysics and Imaging in Radiation Oncologyen_US
pubs.notesNo embargoen_US
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Radiotherapy treatment planning
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Radiotherapy treatment planning/Radiotherapy treatment planning (hon.)
pubs.organisational-group/ICR/Primary Group/Royal Marsden Clinical Units
pubs.publication-statusAccepteden_US
pubs.embargo.termsNo embargoen_US
icr.researchteamRadiotherapy treatment planning
dc.contributor.icrauthorBedford, James L


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