dc.contributor.advisor | Marais, Patrick | en_ZA |
dc.contributor.author | Woods, Keri | en_ZA |
dc.date.accessioned | 2015-01-02T09:26:57Z | |
dc.date.accessioned | 2018-11-26T13:53:27Z | |
dc.date.available | 2015-01-02T09:26:57Z | |
dc.date.available | 2018-11-26T13:53:27Z | |
dc.date.issued | 2011 | en_ZA |
dc.identifier.uri | http://hdl.handle.net/11427/11052 | |
dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/11427/11052 | |
dc.description.abstract | The 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.iso | eng | en_ZA |
dc.subject.other | Computer Science | en_ZA |
dc.title | Tissue segmentation of the cerebellum from MR images | en_ZA |
dc.type | Thesis | en_ZA |
dc.type.qualificationlevel | Masters | en_ZA |
dc.type.qualificationname | MSc | en_ZA |
dc.publisher.institution | University of Cape Town | |
dc.publisher.faculty | Faculty of Science | en_ZA |
dc.publisher.department | Department of Computer Science | en_ZA |