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Tissue segmentation of the cerebellum from MR images

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 p...

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Bibliographic Details
Main Author: Woods, Keri
Other Authors: Marais, Patrick
Format: Thesis
Language:English
Published: Department of Computer Science 2015
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access_status_str Open Access
author Woods, Keri
author2 Marais, Patrick
author_browse Marais, Patrick
Woods, Keri
author_facet Marais, Patrick
Woods, Keri
author_sort Woods, Keri
collection Thesis
description 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.
format Thesis
id oai:open.uct.ac.za:11427/11052
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:39:02.306Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2015
publishDateRange 2015
publishDateSort 2015
publisher Department of Computer Science
publisherStr Department of Computer Science
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/11052 Tissue segmentation of the cerebellum from MR images Woods, Keri Marais, Patrick Meintjes, Ernesta Computer Science 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. 2015-01-02T09:26:57Z 2015-01-02T09:26:57Z 2011 Master Thesis Masters MSc http://hdl.handle.net/11427/11052 eng application/pdf Department of Computer Science Faculty of Science University of Cape Town
spellingShingle Computer Science
Woods, Keri
Tissue segmentation of the cerebellum from MR images
thesis_degree_str Master's
title Tissue segmentation of the cerebellum from MR images
title_full Tissue segmentation of the cerebellum from MR images
title_fullStr Tissue segmentation of the cerebellum from MR images
title_full_unstemmed Tissue segmentation of the cerebellum from MR images
title_short Tissue segmentation of the cerebellum from MR images
title_sort tissue segmentation of the cerebellum from mr images
topic Computer Science
url http://hdl.handle.net/11427/11052
work_keys_str_mv AT woodskeri tissuesegmentationofthecerebellumfrommrimages