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Article: A Deep Learning Framework for Pancreas Segmentation Incorporating Multi-atlas Registration and Level-set

TitleA Deep Learning Framework for Pancreas Segmentation Incorporating Multi-atlas Registration and Level-set
Authors
Wu, EXZhang, YWu, JChen, YChen, WTang, X
Issue Date2021
Citation
Medical Image Analysis, 2021, v. 68, p. 101884 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/303951

 

DC FieldValueLanguage
dc.contributor.authorWu, EX-
dc.contributor.authorZhang, Y-
dc.contributor.authorWu, J-
dc.contributor.authorChen, Y-
dc.contributor.authorChen, W-
dc.contributor.authorTang, X-
dc.date.accessioned2021-09-23T08:53:06Z-
dc.date.available2021-09-23T08:53:06Z-
dc.date.issued2021-
dc.identifier.citationMedical Image Analysis, 2021, v. 68, p. 101884-
dc.identifier.urihttp://hdl.handle.net/10722/303951-
dc.languageeng-
dc.relation.ispartofMedical Image Analysis-
dc.titleA Deep Learning Framework for Pancreas Segmentation Incorporating Multi-atlas Registration and Level-set-
dc.typeArticle-
dc.identifier.emailWu, EX: ewu@eee.hku.hk-
dc.identifier.authorityWu, EX=rp00193-
dc.identifier.hkuros325438-
dc.identifier.volume68-
dc.identifier.spage101884-
dc.identifier.epage101884-

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