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postgraduate thesis: Knowledge-based model in RapidPlan for breast cancer patients with internal mammary chain irradiation using intensity modulated radiotherapy

TitleKnowledge-based model in RapidPlan for breast cancer patients with internal mammary chain irradiation using intensity modulated radiotherapy
Authors
Lam, Ying Na林瑛娜
Issue Date2019
PublisherThe University of Hong Kong (Pokfulam, Hong Kong)
Citation
Lam, Y. N. [林瑛娜]. (2019). Knowledge-based model in RapidPlan for breast cancer patients with internal mammary chain irradiation using intensity modulated radiotherapy. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.
DegreeMaster of Medical Sciences
SubjectBreast - Cancer - Radiotherapy
Dept/ProgramMedicine
Persistent Identifierhttp://hdl.handle.net/10722/279842

 

DC FieldValueLanguage
dc.contributor.authorLam, Ying Na-
dc.contributor.author林瑛娜-
dc.date.accessioned2019-12-10T10:05:04Z-
dc.date.available2019-12-10T10:05:04Z-
dc.date.issued2019-
dc.identifier.citationLam, Y. N. [林瑛娜]. (2019). Knowledge-based model in RapidPlan for breast cancer patients with internal mammary chain irradiation using intensity modulated radiotherapy. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.-
dc.identifier.urihttp://hdl.handle.net/10722/279842-
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.lcshBreast - Cancer - Radiotherapy-
dc.titleKnowledge-based model in RapidPlan for breast cancer patients with internal mammary chain irradiation using intensity modulated radiotherapy-
dc.typePG_Thesis-
dc.description.thesisnameMaster of Medical Sciences-
dc.description.thesislevelMaster-
dc.description.thesisdisciplineMedicine-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.5353/th_991044166287703414-
dc.date.hkucongregation2019-
dc.identifier.mmsid991044166287703414-

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