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Capturing Global Spatial Context for Accurate Cell Classification in Skin Cancer Histology

dc.contributor.authorZormpas-Petridis, K
dc.contributor.authorFailmezger, H
dc.contributor.authorRoxanis, I
dc.contributor.authorBlackledge, M
dc.contributor.authorJamin, Y
dc.contributor.authorYuan, Y
dc.contributor.editorStoyanov, D
dc.contributor.editorTaylor, Z
dc.contributor.editorCiompi, F
dc.contributor.editorXu, Y
dc.coverage.spatialGranada, SPAIN
dc.date.accessioned2019-09-23T13:55:24Z
dc.date.issued2018-01-01
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000477957900007&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=d4b848928d1c3e5c86d298abb68475f9
dc.identifier.citationCOMPUTATIONAL PATHOLOGY AND OPHTHALMIC MEDICAL IMAGE ANALYSIS, 2018, 11039 pp. 52 - 60 (9)
dc.identifier.issn0302-9743
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/3363
dc.identifier.eissn1611-3349
dc.identifier.doi10.1007/978-3-030-00949-6_7
dc.format.extent52 - 60 (9)
dc.languageeng
dc.language.isoeng
dc.publisherSPRINGER INTERNATIONAL PUBLISHING AG
dc.rights.urihttps://www.rioxx.net/licenses/all-rights-reserved
dc.subjectScience & Technology
dc.subjectTechnology
dc.subjectComputer Science, Theory & Methods
dc.subjectImaging Science & Photographic Technology
dc.subjectComputer Science
dc.subjectHistology image processing
dc.subjectHierarchical model
dc.subjectCell classification
dc.subjectIMAGES
dc.titleCapturing Global Spatial Context for Accurate Cell Classification in Skin Cancer Histology
dc.typeJournal Article
rioxxterms.versionofrecord10.1007/978-3-030-00949-6_7
rioxxterms.licenseref.urihttps://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2018-01-01
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfCOMPUTATIONAL PATHOLOGY AND OPHTHALMIC MEDICAL IMAGE ANALYSIS
pubs.notesNot known
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/Computational Imaging
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Pre-Clinical MRI
pubs.organisational-group/ICR/Students
pubs.organisational-group/ICR/Students/PhD and MPhil
pubs.organisational-group/ICR/Students/PhD and MPhil/16/17 Starting Cohort
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/Computational Imaging
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Pre-Clinical MRI
pubs.organisational-group/ICR/Students
pubs.organisational-group/ICR/Students/PhD and MPhil
pubs.organisational-group/ICR/Students/PhD and MPhil/16/17 Starting Cohort
pubs.publication-statusPublished
pubs.volume11039
pubs.embargo.termsNot known
icr.researchteamComputational Imagingen_US
icr.researchteamPre-Clinical MRIen_US
dc.contributor.icrauthorZormpas Petridis, Konstantinos
dc.contributor.icrauthorJamin, Yann
dc.contributor.icrauthorBlackledge, Matthew


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