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Tissue segmentation of the cerebellum from MR images

dc.contributor.advisorMarais, Patricken_ZA
dc.contributor.authorWoods, Kerien_ZA
dc.date.accessioned2015-01-02T09:26:57Z
dc.date.accessioned2018-11-26T13:53:27Z
dc.date.available2015-01-02T09:26:57Z
dc.date.available2018-11-26T13:53:27Z
dc.date.issued2011en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/11052
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/11427/11052
dc.description.abstractThe cerebellum is known to be very susceptible to prenatal exposure to alcohol and people affected by Fetal Alcohol Spectrum Disorder (FASD) show a decrease in cerebellar volume. Unfortunately, there seems to be little work that focuses specifically on cerebellum tissue segmentation. We set out to produce a method, as automated as possible, that segments the cerebellum into grey and white matter, capturing as much of the fine detail as possible.en_ZA
dc.language.isoengen_ZA
dc.subject.otherComputer Scienceen_ZA
dc.titleTissue segmentation of the cerebellum from MR imagesen_ZA
dc.typeThesisen_ZA
dc.type.qualificationlevelMastersen_ZA
dc.type.qualificationnameMScen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.departmentDepartment of Computer Scienceen_ZA


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