A unified level set framework utilizing parameter priors for medical image segmentation
A unified level set framework utilizing parameter priors for medical image segmentation
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Author / Creator
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
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Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Scope and Contents
Contents
Image segmentation plays an important role in many medical imaging systems, yet in complex circumstances it remains an open problem. One of the main difficulties is the intensity inhomogeneity in an image. In order to tackle this problem, we first introduce a region-based level set segmentation framework to unify the traditional global and local me...
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Full title
A unified level set framework utilizing parameter priors for medical image segmentation
Authors, Artists and Contributors
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Record Identifier
TN_cdi_proquest_miscellaneous_1671526324
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1671526324
Other Identifiers
ISSN
1674-733X
E-ISSN
1869-1919
DOI
10.1007/s11432-012-4683-7
