File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Spine-GFlow: A hybrid learning framework for robust multi-tissue segmentation in lumbar MRI without manual annotation

TitleSpine-GFlow: A hybrid learning framework for robust multi-tissue segmentation in lumbar MRI without manual annotation
Authors
KUANG, XCheung, JPYWong, KKYLam, WYLam, CHChoy, RWCheng, CPWu, HYang, CWang, KLi, YZhang, T
Issue Date2022
Citation
Computerized Medical Imaging and Graphics, 2022, v. 99, p. 102091 How to Cite?
DOI: http://dx.doi.org/10.1016/j.compmedimag.2022.102091
Persistent Identifierhttp://hdl.handle.net/10722/314163
ISI Accession Number ID
WOS:000827457800002

 

DC FieldValueLanguage
dc.contributor.authorKUANG, X-
dc.contributor.authorCheung, JPY-
dc.contributor.authorWong, KKY-
dc.contributor.authorLam, WY-
dc.contributor.authorLam, CH-
dc.contributor.authorChoy, RW-
dc.contributor.authorCheng, CP-
dc.contributor.authorWu, H-
dc.contributor.authorYang, C-
dc.contributor.authorWang, K-
dc.contributor.authorLi, Y-
dc.contributor.authorZhang, T-
dc.date.accessioned2022-07-18T06:12:56Z-
dc.date.available2022-07-18T06:12:56Z-
dc.date.issued2022-
dc.identifier.citationComputerized Medical Imaging and Graphics, 2022, v. 99, p. 102091-
dc.identifier.urihttp://hdl.handle.net/10722/314163-
dc.languageeng-
dc.relation.ispartofComputerized Medical Imaging and Graphics-
dc.titleSpine-GFlow: A hybrid learning framework for robust multi-tissue segmentation in lumbar MRI without manual annotation-
dc.typeArticle-
dc.identifier.emailCheung, JPY: cheungjp@hku.hk-
dc.identifier.emailWong, KKY: kykwong@cs.hku.hk-
dc.identifier.emailZhang, T: tgzhang@hku.hk-
dc.identifier.authorityCheung, JPY=rp01685-
dc.identifier.authorityWong, KKY=rp01393-
dc.identifier.authorityZhang, T=rp02821-
dc.identifier.doi10.1016/j.compmedimag.2022.102091-
dc.identifier.hkuros334260-
dc.identifier.volume99-
dc.identifier.spage102091-
dc.identifier.epage102091-
dc.identifier.isiWOS:000827457800002-

Export via OAI-PMH Interface in XML Formats

OR

Export to Other Non-XML Formats