The extraction of the brain tissue is achieved through the level set methods and improved watershed segmentation.
将改进的分水岭算法和水平集算法应用于脑组织的提取。
In Chapter 4, we give an iterative algorithm using level set methods toward the problem of discontinuous solutions in CT.
在第四章中，我们使用水平集方法针对具有间断的CT成像问题进行迭代求解。
This paper presents a new scheme for stiffness topology optimization using topological description functions also named level set methods.
提出了一种基于水平集方法的结构刚度拓扑优化设计方法。
Level Set methods are robust and efficient numerical tools for resolving curve evolution in image segmentation.
水平集方法应用于图象分割的曲线或曲面进化问题，是一种稳定有效的数值计算方法。
Level Set methods are robust and efficient numerical tools for resolving curve evolution in image segmentation.
水平集方法应用于图象分割的曲线或曲面进化问题，是一种稳定有效的数值计算方法。
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