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Conference Paper: Learning-based coronal spine alignment prediction using smartphone-acquired scoliosis radiograph images

TitleLearning-based coronal spine alignment prediction using smartphone-acquired scoliosis radiograph images
Authors
Zhang, TLi, YCheung, JWong, K
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?
DescriptionOral Presentation - Session 8: Clinical Trials, Deformity, and Balance - no. O49
Persistent Identifierhttp://hdl.handle.net/10722/300635

 

DC FieldValueLanguage
dc.contributor.authorZhang, T-
dc.contributor.authorLi, Y-
dc.contributor.authorCheung, J-
dc.contributor.authorWong, K-
dc.date.accessioned2021-06-18T14:54:49Z-
dc.date.available2021-06-18T14:54:49Z-
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/10722/300635-
dc.descriptionOral Presentation - Session 8: Clinical Trials, Deformity, and Balance - no. O49-
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 2021-
dc.titleLearning-based coronal spine alignment prediction using smartphone-acquired scoliosis radiograph images-
dc.typeConference_Paper-
dc.identifier.emailZhang, T: tgzhang@hku.hk-
dc.identifier.emailCheung, J: cheungjp@hku.hk-
dc.identifier.emailWong, K: kykwong@cs.hku.hk-
dc.identifier.authorityZhang, T=rp02821-
dc.identifier.authorityCheung, J=rp01685-
dc.identifier.authorityWong, K=rp01393-
dc.identifier.hkuros322965-

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