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dc.contributor.authorMercieca, S
dc.contributor.authorBelderbos, J
dc.contributor.authorvan Loon, J
dc.contributor.authorGilhuijs, K
dc.contributor.authorJulyan, Peter J
dc.contributor.authorvan Herk, Marcel
dc.date.accessioned2018-07-21T09:06:20Z
dc.date.available2018-07-21T09:06:20Z
dc.date.issued2018-07-05
dc.identifier.citationComparison of SUVmax and SUVpeak based segmentation to determine primary lung tumour volume on FDG PET-CT correlated with pathology data. 2018, Radiother Oncolen
dc.identifier.issn1879-0887
dc.identifier.pmid29983260
dc.identifier.doi10.1016/j.radonc.2018.06.028
dc.identifier.urihttp://hdl.handle.net/10541/621138
dc.description.abstractThe aim of the study was to compare simple SUVmax and SUVpeak based segmentation methods for calculating the lung tumour volume, compared to a pathology ground truth.
dc.language.isoenen
dc.rightsArchived with thanks to Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncologyen
dc.titleComparison of SUVmax and SUVpeak based segmentation to determine primary lung tumour volume on FDG PET-CT correlated with pathology data.en
dc.typeArticleen
dc.contributor.departmentFaculty of Health Science, University of Malta, Malta; Faculty of Medicine (AMC) - University of Amsterdam, The Netherlandsen
dc.identifier.journalRadiotherapy and Oncologyen
refterms.dateFOA2020-04-27T11:26:33Z
html.description.abstractThe aim of the study was to compare simple SUVmax and SUVpeak based segmentation methods for calculating the lung tumour volume, compared to a pathology ground truth.


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