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From Point to Local Neighborhood: Polyp Detection in CT Colonography Using Geodesic Ring Neighborhoods

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dc.contributor.authorOng, Ju
dc.contributor.authorSeghouane, Abd-Krim
dc.date.accessioned2015-12-10T23:31:20Z
dc.date.issued2011
dc.date.updated2016-02-24T08:16:51Z
dc.description.abstractExisting polyp detection methods rely heavily on curvature-based characteristics to differentiate between lesions. These assume that the discrete triangulated surface mesh or volume closely approximates a smooth continuous surface. However, this is often
dc.identifier.issn1057-7149
dc.identifier.urihttp://hdl.handle.net/1885/68576
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.sourceIEEE Transactions on Image Processing
dc.subjectKeywords: CAD; computed tomography (CT); curvature; geodesic distance; geometry processing; polyp detection; shape analysis; Geodesy; Computerized tomography; algorithm; article; artificial intelligence; automated pattern recognition; colon polyp; computed tomograp CAD; computed tomography (CT); curvature; geodesic distance; geometry processing; polyp detection; shape analysis
dc.titleFrom Point to Local Neighborhood: Polyp Detection in CT Colonography Using Geodesic Ring Neighborhoods
dc.typeJournal article
local.bibliographicCitation.issue4
local.bibliographicCitation.lastpage1010
local.bibliographicCitation.startpage1000
local.contributor.affiliationOng, Ju, College of Engineering and Computer Science, ANU
local.contributor.affiliationSeghouane, Abd-Krim, College of Engineering and Computer Science, ANU
local.contributor.authoruidOng, Ju, u3936566
local.contributor.authoruidSeghouane, Abd-Krim, u4593707
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor080106 - Image Processing
local.identifier.absseo970109 - Expanding Knowledge in Engineering
local.identifier.absseo920105 - Digestive System Disorders
local.identifier.ariespublicationf2965xPUB1761
local.identifier.citationvolume20
local.identifier.doi10.1109/TIP.2010.2076295
local.identifier.scopusID2-s2.0-79952903119
local.type.statusPublished Version

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