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Conference Paper: Screening for scoliosis using computer vision and machine learning allows high throughput screening: a proof of concept study

TitleScreening for scoliosis using computer vision and machine learning allows high throughput screening: a proof of concept study
Authors
Ye, TFan, YTo, MKTCheung, JPYCheung, KMC
Issue Date2021
PublisherThe International Society on Scoliosis Orthopaedic and Rehabilitation Treatment (SOSORT).
Citation
eSOSORT (Society on Scoliosis Orthopaedic and Rehabilitation Treatment) 2021 Virtual Meeting, 29 April - 1 May 2021 How to Cite?
DescriptionSOSORT 2021 ePosters - no. 38
Persistent Identifierhttp://hdl.handle.net/10722/300628

 

DC FieldValueLanguage
dc.contributor.authorYe, T-
dc.contributor.authorFan, Y-
dc.contributor.authorTo, MKT-
dc.contributor.authorCheung, JPY-
dc.contributor.authorCheung, KMC-
dc.date.accessioned2021-06-18T14:54:43Z-
dc.date.available2021-06-18T14:54:43Z-
dc.date.issued2021-
dc.identifier.citationeSOSORT (Society on Scoliosis Orthopaedic and Rehabilitation Treatment) 2021 Virtual Meeting, 29 April - 1 May 2021-
dc.identifier.urihttp://hdl.handle.net/10722/300628-
dc.descriptionSOSORT 2021 ePosters - no. 38-
dc.languageeng-
dc.publisherThe International Society on Scoliosis Orthopaedic and Rehabilitation Treatment (SOSORT).-
dc.relation.ispartofeSOSORT (Society on Scoliosis Orthopaedic and Rehabilitation Treatment) 2021 Virtual Meeting-
dc.titleScreening for scoliosis using computer vision and machine learning allows high throughput screening: a proof of concept study-
dc.typeConference_Paper-
dc.identifier.emailTo, MKT: mikektto@hku.hk-
dc.identifier.emailCheung, JPY: cheungjp@hku.hk-
dc.identifier.emailCheung, KMC: hcm21000@hku.hk-
dc.identifier.authorityTo, MKT=rp00302-
dc.identifier.authorityCheung, JPY=rp01685-
dc.identifier.authorityCheung, KMC=rp00387-
dc.identifier.hkuros322949-

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