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Conference Paper: SpineQ: Unsupervised Learning-Based Pipeline for Fully Automated Quantitative Analysis of Lumbar MRI With Preliminary Validation (Session VI: Emerging Technologies)

TitleSpineQ: Unsupervised Learning-Based Pipeline for Fully Automated Quantitative Analysis of Lumbar MRI With Preliminary Validation (Session VI: Emerging Technologies)
Authors
Cheung, Jason Pui Yin
Issue Date1-May-2023
Persistent Identifierhttp://hdl.handle.net/10722/335627

 

DC FieldValueLanguage
dc.contributor.authorCheung, Jason Pui Yin-
dc.date.accessioned2023-12-04T09:37:09Z-
dc.date.available2023-12-04T09:37:09Z-
dc.date.issued2023-05-01-
dc.identifier.urihttp://hdl.handle.net/10722/335627-
dc.languageeng-
dc.relation.ispartofSpineweek 2023 (01/05/2023-05/05/2023, Melbourne, Australia)-
dc.titleSpineQ: Unsupervised Learning-Based Pipeline for Fully Automated Quantitative Analysis of Lumbar MRI With Preliminary Validation (Session VI: Emerging Technologies)-
dc.typeConference_Paper-

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