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Conference Paper: A novel tool to provide predictable alignment data irrespective of source and image quality acquired on mobile phones: what engineers can offer clinicians

TitleA novel tool to provide predictable alignment data irrespective of source and image quality acquired on mobile phones: what engineers can offer clinicians
Authors
Zhang, TKuang, XZhu, CLu, QLiu, JDiwan, ACheung, JPY
Issue Date2021
PublisherInternational Society for the Study of the Lumbar Spine.
Citation
The International Society for the Study of the Lumbar Spine (ISSLS) Virtual Annual Meeting 2021: Reflecting the Past and Embracing the Future, 2-4 June 2021 How to Cite?
DescriptionSpecial Posters - Session 5.4. Artificial Intelligence and Novel Technologies - no. SP525
Persistent Identifierhttp://hdl.handle.net/10722/300632

 

DC FieldValueLanguage
dc.contributor.authorZhang, T-
dc.contributor.authorKuang, X-
dc.contributor.authorZhu, C-
dc.contributor.authorLu, Q-
dc.contributor.authorLiu, J-
dc.contributor.authorDiwan, A-
dc.contributor.authorCheung, JPY-
dc.date.accessioned2021-06-18T14:54:46Z-
dc.date.available2021-06-18T14:54:46Z-
dc.date.issued2021-
dc.identifier.citationThe International Society for the Study of the Lumbar Spine (ISSLS) Virtual Annual Meeting 2021: Reflecting the Past and Embracing the Future, 2-4 June 2021-
dc.identifier.urihttp://hdl.handle.net/10722/300632-
dc.descriptionSpecial Posters - Session 5.4. Artificial Intelligence and Novel Technologies - no. SP525-
dc.languageeng-
dc.publisherInternational Society for the Study of the Lumbar Spine. -
dc.relation.ispartofISSLS (International Society for the Study of the Lumbar Spine) Virtual Annual Meeting-
dc.titleA novel tool to provide predictable alignment data irrespective of source and image quality acquired on mobile phones: what engineers can offer clinicians-
dc.typeConference_Paper-
dc.identifier.emailZhang, T: tgzhang@hku.hk-
dc.identifier.emailCheung, JPY: cheungjp@hku.hk-
dc.identifier.authorityZhang, T=rp02821-
dc.identifier.authorityCheung, JPY=rp01685-
dc.identifier.hkuros322962-

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