A fully automatic three-step liver segmentation method on LDA-based probability maps for multiple contrast MR images

Automatic 3D liver segmentation in magnetic resonance (MR) data sets has proven to be a very challenging task in the domain of medical image analysis. There exist numerous approaches for automatic 3D liver segmentation on computer tomography data sets that have influenced the segmentation of MR imag...

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Vydané v:	Magnetic resonance imaging Ročník 28; číslo 6; s. 882 - 897
Hlavní autori:	Gloger, Oliver, Kühn, Jens, Stanski, Adam, Völzke, Henry, Puls, Ralf
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Netherlands Elsevier Inc 01.07.2010
Predmet:	Adult Aged Algorithms Automatic liver segmentation Bayesian formulation Discriminant Analysis Fatty Liver - pathology Female Fourier Analysis Fourier descriptors Humans Image Enhancement - methods Imaging, Three-Dimensional - methods Kidney - anatomy & histology Liver - anatomy & histology Liver - pathology Magnetic Resonance Imaging - methods Male Middle Aged Multiclass linear dimension reduction Radiology Region growing Young Adult Automatic liver segmentation Bayesian formulation Multiclass linear dimension reduction Region growing Fourier descriptors
ISSN:	0730-725X, 1873-5894, 1873-5894
On-line prístup:	Získať plný text
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