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» Model-based Segmentation of Radiological Images
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MICCAI
2002
Springer
14 years 8 months ago
An Automated Segmentation Method of Kidney Using Statistical Information
: This paper presents a deformable model based approach for automated segmentation of kidneys from tree dimensional (3D) abdominal CT images. Since the quality of an input image is...
Baigalmaa Tsagaan, Akinobu Shimizu, Hidefumi Kobat...
SCIA
2005
Springer
186views Image Analysis» more  SCIA 2005»
14 years 1 months ago
Levelset and B-Spline Deformable Model Techniques for Image Segmentation: A Pragmatic Comparative Study
Deformable contours are now widely used in image segmentation, using different models, criteria and numeric schemes. Some theoretical comparisons between few deformable model met...
Diane Lingrand, Johan Montagnat
MICCAI
2009
Springer
14 years 9 months ago
A Generic Probabilistic Active Shape Model for Organ Segmentation
Probabilistic models are extensively used in medical image segmentation. Most of them employ parametric representations of densities and make idealizing assumptions, e.g. normal di...
Andreas Wimmer, Grzegorz Soza, Joachim Hornegger
ISBI
2011
IEEE
12 years 11 months ago
3D segmentation of rodent brain structures using Active Volume Model with shape priors
Object boundary extraction is an important task in brain image analysis. Acquiring detailed 3D representations of the brain structures could improve the detection rate of diseases...
Shaoting Zhang, Junzhou Huang, Mustafa Gökhan...
CATA
2001
13 years 9 months ago
Eyelash detection model for accurate iris segmentation
In this paper, we present a novel eyelash detection model based on three criterions: 1) separable eyelash condition, 2) non-informative condition and 3) connective criterion. The f...
W. K. Kong, D. Zhang