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postgraduate thesis: Robotic transrectal ultrasound (TRUS) and MRI-TRUS registration based on deep learning

TitleRobotic transrectal ultrasound (TRUS) and MRI-TRUS registration based on deep learning
Authors
Zhang, Xinyu张馨予
Issue Date2020
PublisherThe University of Hong Kong (Pokfulam, Hong Kong)
Citation
Zhang, X. [张馨予]. (2020). Robotic transrectal ultrasound (TRUS) and MRI-TRUS registration based on deep learning. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.
DegreeMaster of Medical Sciences
SubjectUltrasonic imaging
Magnetic resonance imaging
Robotics in medicine
Dept/ProgramDiagnostic Radiology
Persistent Identifierhttp://hdl.handle.net/10722/291133

 

DC FieldValueLanguage
dc.contributor.authorZhang, Xinyu-
dc.contributor.author张馨予-
dc.date.accessioned2020-11-04T13:09:16Z-
dc.date.available2020-11-04T13:09:16Z-
dc.date.issued2020-
dc.identifier.citationZhang, X. [张馨予]. (2020). Robotic transrectal ultrasound (TRUS) and MRI-TRUS registration based on deep learning. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.-
dc.identifier.urihttp://hdl.handle.net/10722/291133-
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.lcshUltrasonic imaging-
dc.subject.lcshMagnetic resonance imaging-
dc.subject.lcshRobotics in medicine-
dc.titleRobotic transrectal ultrasound (TRUS) and MRI-TRUS registration based on deep learning-
dc.typePG_Thesis-
dc.description.thesisnameMaster of Medical Sciences-
dc.description.thesislevelMaster-
dc.description.thesisdisciplineDiagnostic Radiology-
dc.description.naturepublished_or_final_version-
dc.date.hkucongregation2020-
dc.identifier.mmsid991044288247203414-

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