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Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/25568
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dc.titleSet-based Cascading Approaches for Magnetic Resonance (MR) Image Segmentation (SCAMIS).
dc.contributor.authorLiu, J.
dc.contributor.authorLeong, T.Y.
dc.contributor.authorChee, K.B.
dc.contributor.authorTan, B.P.
dc.contributor.authorShuter, B.
dc.contributor.authorWang, S.C.
dc.date.accessioned2011-08-16T05:50:38Z
dc.date.available2011-08-16T05:50:38Z
dc.date.issued2006
dc.identifier.citationLiu, J.,Leong, T.Y.,Chee, K.B.,Tan, B.P.,Shuter, B.,Wang, S.C. (2006). Set-based Cascading Approaches for Magnetic Resonance (MR) Image Segmentation (SCAMIS).. AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium : 504-508. ScholarBank@NUS Repository.
dc.identifier.issn15594076
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/25568
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.contributor.departmentDIAGNOSTIC RADIOLOGY
dc.description.sourcetitleAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
dc.description.page504-508
dc.identifier.isiutNOT_IN_WOS
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