File Download

There are no files associated with this item.

Supplementary

Conference Paper: Spine-SegLoop: A Deep Learning Framework for Multi-tissue Segmentation in Lumbar MRI with No Manual Annotations

TitleSpine-SegLoop: A Deep Learning Framework for Multi-tissue Segmentation in Lumbar MRI with No Manual Annotations
Authors
KUANG, XCheung, JPYWong, KKYZhang, T
Issue Date2022
Citation
International Society for the Study of the Lumbar Spine (ISSLS) Annual Meeting 2022, Boston, USA, 9-13 May 2022 How to Cite?
DescriptionGeneral Posters Session - Submitted on-line - no. 1224 (id#3015)
Persistent Identifierhttp://hdl.handle.net/10722/312965

 

DC FieldValueLanguage
dc.contributor.authorKUANG, X-
dc.contributor.authorCheung, JPY-
dc.contributor.authorWong, KKY-
dc.contributor.authorZhang, T-
dc.date.accessioned2022-05-21T11:54:07Z-
dc.date.available2022-05-21T11:54:07Z-
dc.date.issued2022-
dc.identifier.citationInternational Society for the Study of the Lumbar Spine (ISSLS) Annual Meeting 2022, Boston, USA, 9-13 May 2022-
dc.identifier.urihttp://hdl.handle.net/10722/312965-
dc.descriptionGeneral Posters Session - Submitted on-line - no. 1224 (id#3015)-
dc.languageeng-
dc.relation.ispartof48th ISSLS Annual Meeting, 2022-
dc.titleSpine-SegLoop: A Deep Learning Framework for Multi-tissue Segmentation in Lumbar MRI with No Manual Annotations-
dc.typeConference_Paper-
dc.identifier.emailCheung, JPY: cheungjp@hku.hk-
dc.identifier.emailWong, KKY: kkywong@hku.hk-
dc.identifier.emailZhang, T: tgzhang@hku.hk-
dc.identifier.authorityCheung, JPY=rp01685-
dc.identifier.authorityWong, KKY=rp01392-
dc.identifier.authorityZhang, T=rp02821-
dc.identifier.hkuros333142-

Export via OAI-PMH Interface in XML Formats

OR

Export to Other Non-XML Formats