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dc.contributor.authorLucchesi, Den_US
dc.contributor.authorPontarini, Een_US
dc.contributor.authorDonati, Ven_US
dc.contributor.authorMandarano, Men_US
dc.contributor.authorSidoni, Aen_US
dc.contributor.authorBartoloni, Een_US
dc.contributor.authorBaldini, Cen_US
dc.contributor.authorTappuni, ARen_US
dc.contributor.authorBombardieri, Men_US
dc.date.accessioned2020-11-10T15:35:06Z
dc.date.issued2020en_US
dc.identifier.issn0392-856Xen_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/68145
dc.format.extentS180 - S188en_US
dc.relation.ispartofCLINICAL AND EXPERIMENTAL RHEUMATOLOGYen_US
dc.subjectSjogren's syndromeen_US
dc.subjectsalivary glandsen_US
dc.subjecthistologyen_US
dc.subjectcomputer-assisted image analysisen_US
dc.titleThe use of digital image analysis in the histological assessment of Sjogren's syndrome salivary glands improves inter-rater agreement and facilitates multicentre data harmonisationen_US
dc.typeArticle
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000581183900027&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.issue4en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume38en_US


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