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postgraduate thesis: Evaluation of a commercially-available-deep-learning-based software for synthetic-CT generation for hippocampal-sparing-whole-brain radiotherapy

TitleEvaluation of a commercially-available-deep-learning-based software for synthetic-CT generation for hippocampal-sparing-whole-brain radiotherapy
Authors
Man, Hung Hing萬鴻興
Issue Date2023
PublisherThe University of Hong Kong (Pokfulam, Hong Kong)
Citation
Man, H. H. [萬鴻興]. (2023). Evaluation of a commercially-available-deep-learning-based software for synthetic-CT generation for hippocampal-sparing-whole-brain radiotherapy. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.
DegreeMaster of Medical Sciences
SubjectBrain - Radiography
Hippocampus (Brain)
Dept/ProgramDiagnostic Radiology
Persistent Identifierhttp://hdl.handle.net/10722/346427

 

DC FieldValueLanguage
dc.contributor.authorMan, Hung Hing-
dc.contributor.author萬鴻興-
dc.date.accessioned2024-09-16T03:00:53Z-
dc.date.available2024-09-16T03:00:53Z-
dc.date.issued2023-
dc.identifier.citationMan, H. H. [萬鴻興]. (2023). Evaluation of a commercially-available-deep-learning-based software for synthetic-CT generation for hippocampal-sparing-whole-brain radiotherapy. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.-
dc.identifier.urihttp://hdl.handle.net/10722/346427-
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.lcshBrain - Radiography-
dc.subject.lcshHippocampus (Brain)-
dc.titleEvaluation of a commercially-available-deep-learning-based software for synthetic-CT generation for hippocampal-sparing-whole-brain radiotherapy-
dc.typePG_Thesis-
dc.description.thesisnameMaster of Medical Sciences-
dc.description.thesislevelMaster-
dc.description.thesisdisciplineDiagnostic Radiology-
dc.description.naturepublished_or_final_version-
dc.date.hkucongregation2023-
dc.identifier.mmsid991044853907903414-

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