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postgraduate thesis: Development of deep learning-based feedback model to assist medical students learning in renal ultrasound acquisition

TitleDevelopment of deep learning-based feedback model to assist medical students learning in renal ultrasound acquisition
Authors
Hwang, Cheuk Nam黃卓男
Issue Date2024
PublisherThe University of Hong Kong (Pokfulam, Hong Kong)
Citation
Hwang, C. N. [黃卓男]. (2024). Development of deep learning-based feedback model to assist medical students learning in renal ultrasound acquisition. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.
DegreeMaster of Medical Sciences
SubjectKidneys - Ultrasonic imaging
Ultrasonic imaging - Study and teaching (Higher)
Dept/ProgramDiagnostic Radiology
Persistent Identifierhttp://hdl.handle.net/10722/355529

 

DC FieldValueLanguage
dc.contributor.authorHwang, Cheuk Nam-
dc.contributor.author黃卓男-
dc.date.accessioned2025-04-16T08:02:29Z-
dc.date.available2025-04-16T08:02:29Z-
dc.date.issued2024-
dc.identifier.citationHwang, C. N. [黃卓男]. (2024). Development of deep learning-based feedback model to assist medical students learning in renal ultrasound acquisition. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.-
dc.identifier.urihttp://hdl.handle.net/10722/355529-
dc.languageeng-
dc.publisherThe University of Hong Kong (Pokfulam, Hong Kong)-
dc.relation.ispartofHKU Theses Online (HKUTO)-
dc.rightsThe author retains all proprietary rights, (such as patent rights) and the right to use in future works.-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subject.lcshKidneys - Ultrasonic imaging-
dc.subject.lcshUltrasonic imaging - Study and teaching (Higher)-
dc.titleDevelopment of deep learning-based feedback model to assist medical students learning in renal ultrasound acquisition-
dc.typePG_Thesis-
dc.description.thesisnameMaster of Medical Sciences-
dc.description.thesislevelMaster-
dc.description.thesisdisciplineDiagnostic Radiology-
dc.description.naturepublished_or_final_version-
dc.date.hkucongregation2024-
dc.identifier.mmsid991044926590903414-

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