Results 21 to 30 of about 62,644 (199)
Quantitative Comparison of Deformable Models in Range Segmentation
Cybernetics and Information Technologies, 2015 In this paper we segment range images by applying three deformable models (the classical Active Contour, the adaptive active contour and the Level Set method). These three methods are used to segment images with planar and curved surface scenes. Then the
Amine Khaldi, Hayet Farida Merouani
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On Solutions of Possibilistic Multi- objective Quadratic Programming Problems [PDF]
International Journal of Supply and Operations Management, 2017 In this paper, a multi- objective quadratic programming (Poss- MOQP) problem with possibilistic variables coefficients matrix in the objective functions is studied.
Hamiden Khalifa
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Second Order Level Set Method in Numerical Simulation of the Grain Burn-Back [PDF]
فصلنامه علوم و فناوری فضایی, 2014 In this research, second order level set method for simulation of grain burn-back analysis is presented and compared with the first order level set according to discretisation technique, accuracy , and CPU time.
M.M. Gheisari, S. M. Mirsajedi
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An efficient similarity-based level set model for medical image segmentation
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2016 It is usually difficult to correctly segment medical images with intensity inhomogeneity, which is of great significance in understanding of medical images. The local image intensity features play a vital role in accurately segmenting medical images with
Haiping YU +3 more
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A fully automated approach to prostate biopsy segmentation based on level-set and mean filtering
Journal of Pathology Informatics, 2011 With modern automated microscopes and digital cameras, pathologists no longer have to examine samples looking through microscope binoculars. Instead, the slide is digitized to an image, which can then be examined on a screen. This creates the possibility
Juan Vidal +5 more
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Confidence sets for a level set in linear regression [PDF]
Statistics in MedicineRegression modeling is the workhorse of statistics and there is a vast literature on estimation of the regression function. It has been realized in recent years that in regression analysis the ultimate aim may be the estimation of a level set of the regression function, ie, the set of covariate values for which the regression function exceeds a ...
Fang Wan, Wei Liu, Frank Bretz
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Bioengineering, 2022 The segmentation of dynamic contrast-enhanced magnetic resonance images (DCE-MRI) of the kidney is a fundamental step in the early and noninvasive detection of acute renal allograft rejection. In this paper, a new and accurate DCE-MRI kidney segmentation
Moumen El-Melegy +4 more
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Confidence regions for level sets
Journal of Multivariate Analysis, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mammen, Enno, Polonik, Wolfgang
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IEEE AccessMedical image segmentation often encounters significant challenges due to noise and intensity inhomogeneity. While Level Set Models (LSMs) are widely used for segmentation, their effectiveness in these scenarios remains limited.
M. Almasganj, E. Fatemizadeh
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IEEE Access, 2017 Active contour models based on the level set method (LSM) are widely used in image segmentation. The major advantages of these models based on an LSM are topological flexibility and evolution robustness.
Guoqi Liu, Haifeng Li, Liu Yang
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