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dc.contributor.authorRundo, Leonardo
dc.contributor.authorMilitello, Carmelo
dc.contributor.authorConti, Vincenzo
dc.contributor.authorZaccagna, Fulvio
dc.contributor.authorHan, Changhee
dc.date.accessioned2022-01-07T16:54:18Z
dc.date.available2022-01-07T16:54:18Z
dc.date.issued2021-11-12
dc.identifier.issn2313-433X
dc.identifier.otherPMC8619456
dc.identifier.other34821868
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/332438
dc.description.abstractThe Special Issue "Advanced Computational Methods for Oncological Image Analysis", published for the <i>Journal of Imaging</i>, covered original research papers about state-of-the-art and novel algorithms and methodologies, as well as applications of computational methods for oncological image analysis, ranging from radiogenomics to deep learning [...].
dc.languageeng
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceessn: 2313-433X
dc.sourcenlmid: 101698819
dc.titleAdvanced Computational Methods for Oncological Image Analysis.
dc.typeOther
dc.date.updated2022-01-07T16:54:17Z
prism.issueIdentifier11
prism.publicationNameJournal of imaging
prism.volume7
dc.identifier.doi10.17863/CAM.79884
rioxxterms.versionofrecord10.3390/jimaging7110237
rioxxterms.versionVoR
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0/
dc.contributor.orcidRundo, Leonardo [0000-0003-3341-5483]
dc.contributor.orcidMilitello, Carmelo [0000-0003-2249-9538]
dc.contributor.orcidConti, Vincenzo [0000-0002-8718-111X]


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International