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postgraduate thesis: The value of diffusion-weighted imaging in differentiating benign and malignant pelvic lymph nodes in endometrial cancer

TitleThe value of diffusion-weighted imaging in differentiating benign and malignant pelvic lymph nodes in endometrial cancer
Authors
Issue Date2019
PublisherThe University of Hong Kong (Pokfulam, Hong Kong)
Citation
Wu, J. [伍嘉威]. (2019). The value of diffusion-weighted imaging in differentiating benign and malignant pelvic lymph nodes in endometrial cancer. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.
DegreeMaster of Medical Sciences
SubjectEndometrium - Magnetic resonance imaging - Cancer
Diffusion magnetic resonance imaging
Dept/ProgramDiagnostic Radiology
Persistent Identifierhttp://hdl.handle.net/10722/279623

 

DC FieldValueLanguage
dc.contributor.authorWu, Jiawei-
dc.contributor.author伍嘉威-
dc.date.accessioned2019-11-04T09:03:43Z-
dc.date.available2019-11-04T09:03:43Z-
dc.date.issued2019-
dc.identifier.citationWu, J. [伍嘉威]. (2019). The value of diffusion-weighted imaging in differentiating benign and malignant pelvic lymph nodes in endometrial cancer. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.-
dc.identifier.urihttp://hdl.handle.net/10722/279623-
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.lcshEndometrium - Magnetic resonance imaging - Cancer-
dc.subject.lcshDiffusion magnetic resonance imaging-
dc.titleThe value of diffusion-weighted imaging in differentiating benign and malignant pelvic lymph nodes in endometrial cancer-
dc.typePG_Thesis-
dc.description.thesisnameMaster of Medical Sciences-
dc.description.thesislevelMaster-
dc.description.thesisdisciplineDiagnostic Radiology-
dc.description.naturepublished_or_final_version-
dc.date.hkucongregation2019-
dc.identifier.mmsid991044146766703414-

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