Results 21 to 30 of about 2,635,657 (307)

A new ghost cell/level set method for moving boundary problems:application to tumor growth [PDF]

open access: yes, 2008
In this paper, we present a ghost cell/level set method for the evolution of interfaces whose normal velocity depend upon the solutions of linear and nonlinear quasi-steady reaction-diffusion equations with curvature-dependent boundary conditions.
Macklin, Paul, Lowengrub, John S.
core   +1 more source

Multiphase Image Segmentation Method Based on One Level Set Function [PDF]

open access: yesJisuanji gongcheng, 2018
When using multiple feature functions to mark different regions for image segmentation,it is necessary to find extreme values for multiple functions,resulting in the increase in computation.Aiming at this problem,a method of multi-level set marking by ...
ZHAO Ruixue,PAN Zhenkuan,HOU Guojia,LIU Cunliang
doaj   +1 more source

Some numerical aspects of the level set method

open access: yesMathematical Modelling and Analysis, 1998
Many practical applications imply the solution of free boundary value problems. If the free boundary is complex and can change its topology, it will be hard to solve such problems numerically.
Mathias Moog   +2 more
doaj   +1 more source

Deep level-set method for Stefan problems

open access: yesJournal of Computational Physics, 2023
We propose a level-set approach to characterize the region occupied by the solid in Stefan problems with and without surface tension, based on their recent probabilistic reformulation. The level-set function is parameterized by a feed-forward neural network, whose parameters are trained using the probabilistic formulation of the Stefan growth condition.
Mykhaylo Shkolnikov   +2 more
openaire   +2 more sources

rhudaina/Level-Set-Based-Method-for-Cellular-Rearrangement: v1.2.2

open access: yes, 2022
The open access repository is available at doi:10.5281/zenodo ...
Rhudaina Mohammad
core   +1 more source

Level set methods for dynamic tomography [PDF]

open access: yes2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (IEEE Cat No. 04EX821), 2005
In this paper, we propose a novel variational framework for the reconstruction of dynamic objects from sparse and noisy tomographic data. Using an object-based scene model, we developed a general object dynamic model based on a one to one and differentiable mapping. We then propose a novel distance between curves to incorporate the object dynamics into
Yonggang Shi, William Clement Karl
openaire   +1 more source

LEVEL SETS AND COMPUTATIONAL INTELLIGENCE ALGORITHMS TO MEDICAL IMAGE ANALYSIS IN E-MEDICUS SYSTEM

open access: yesInformatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2017
In this work, there were implemented methods to analyze and segmentation medical images by using topological, statistical algorithms and artificial intelligence techniques.
Tomasz Rymarczyk
doaj   +1 more source

A Novel Adaptive Level Set Segmentation Method [PDF]

open access: yesComputational and Mathematical Methods in Medicine, 2014
The adaptive distance preserving level set (ADPLS) method is fast and not dependent on the initial contour for the segmentation of images with intensity inhomogeneity, but it often leads to segmentation with compromised accuracy. And the local binary fitting model (LBF) method can achieve segmentation with higher accuracy but with low speed and ...
Yazhong Lin   +4 more
openaire   +3 more sources

COUPLING BOUNDARY ELEMENT METHOD WITH LEVEL SET METHOD TO SOLVE INVERSE PROBLEM

open access: yesInformatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2017
The boundary element method and the level set method can be used in order to solve the inverse problem for electric field. In this approach the adjoint equation arises in each iteration step.
Tomasz Rymarczyk   +2 more
doaj   +1 more source

Level set method with Retinex‐corrected saliency embedded for image segmentation

open access: yesIET Image Processing, 2021
It can be a very challenging task when using level set method segmenting natural images with high intensity inhomogeneity and complex background scenes.
Dongmei Liu   +3 more
doaj   +1 more source

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