Multi atlas based segmentations: a comparison between binary and probabilistic methods

dc.rights.license	CC-BY-NC-ND
dc.contributor.advisor	Langerak, T.R.
dc.contributor.author	Velden, T.A. van der
dc.date.accessioned	2012-10-29T18:00:57Z
dc.date.available	2012-10-29
dc.date.available	2012-10-29T18:00:57Z
dc.date.issued	2012
dc.identifier.uri	https://studenttheses.uu.nl/handle/20.500.12932/11880
dc.description.abstract	Manually segmenting medical images is a time consuming process. Automating this process is therefore desired. This can be done by using the information from previously segmented images, atlases. Multiple methods have been proposed to perform this task. This paper reviews different approaches and compares them with an emphasis on the relation between probabilistic and binary methods.
dc.description.sponsorship	Utrecht University
dc.format.extent	346984 bytes
dc.format.mimetype	application/pdf
dc.language.iso	en
dc.title	Multi atlas based segmentations: a comparison between binary and probabilistic methods
dc.type.content	Master Thesis
dc.rights.accessrights	Open Access
dc.subject.keywords	multi atlas based segementation, atlas based segmentation, binary, probabilistic, comparison
dc.subject.courseuu	Biomedical Image Sciences