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dc.contributor.authorNg, Curtise
dc.contributor.authorSun, Zhonghua
dc.contributor.editorCMS managers
dc.date.accessioned2017-01-30T12:40:11Z
dc.date.available2017-01-30T12:40:11Z
dc.date.created2010-01-21T20:02:22Z
dc.date.issued2009
dc.identifier.citationNg, Curtise and Sun, Zhonghua. 2009. Evaluation of a homegrown computed radiography dose data mining program for online automatic surveillance of dose creep, in CMS managers (ed), Royal Australian and New Zealand College of Radiologists, Oct 25 2009. Brisbane: Wiley Blackwell
dc.identifier.urihttp://hdl.handle.net/20.500.11937/23944
dc.publisherWiley Blackwell
dc.titleEvaluation of a Homegrown Computed Radiography Dose Data Mining Program for Online Automatic Surveillance of Dose Creep
dc.typeConference Paper
dcterms.source.titleCMS managers
dcterms.source.seriesCMS managers
dcterms.source.conferenceRoyal Australian and New Zealand College of Radiologists
dcterms.source.conference-start-dateOct 25 2009
dcterms.source.conferencelocationBrisbane
dcterms.source.placeBrisbane
curtin.note

Copyright © 2010 John Wiley & Sons, Ltd.

curtin.accessStatusFulltext not available
curtin.facultySchool of Science and Computing
curtin.facultyFaculty of Science and Engineering
curtin.facultyDepartment of Imaging and Applied Physics


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