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On the Stability and Convergence Rate of Some Discretized Schemes for Parametric Deformable Models Used in Medical Image Analysis

机译:关于用于医学图像分析的参数化可变形模型的一些离散方案的稳定性和收敛速度

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摘要

In order to find the energy-minimizing surface and to reduce the computational requirements, we consider an associated simplified model, [1], and we derive an algorithm for solving numerically the corresponding Euler-Gauss-Ostrogradsky equation of Calculus of Variations. The stability and the convergence of the algorithm are discussed, together with some aspects regarding the statistical modeling, applied in medical imaging.
机译:为了找到能量最小的表面并减少计算需求,我们考虑一个相关的简化模型,[1],并推导了一种算法,用于数值求解相应的微积分微分方程Euler-Gauss-Ostrogradsky方程。讨论了算法的稳定性和收敛性,以及与统计建模有关的方面,并将其应用于医学成像。

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