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A Novel Classification Method of Medical Image Segmentation Algorithm

机译:一种医学图像分割算法的新分类方法

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Medical image segmentation is a relevant and active research field of medical image processing. The proposal of various algorithms not only enriches the means to solve the problem of medical image segmentation but also makes the algorithm classification and summary urgent. At present, a variety of classifica-tion methods are mostly based on the characteristics of the algorithm itself. If the classification principle of the algorithm is determined according to the essential elements of the organ plane space, such as point, line, and surface, a new classifica-tion method will be formed, and it is more in line with people's intuitive feelings. Using this new segmentation principle to classify medical image segmentation algorithms is helpful to clarify the relationship between various algorithms.
机译:医学图像分割是医学图像处理的相关且活跃的研究领域。各种算法的提出,不仅丰富了解决医学图像分割问题的手段,而且使算法的分类和总结变得迫在眉睫。目前,各种分类方法主要基于算法本身的特征。如果根据器官平面空间的基本要素(如点,线,面)确定算法的分类原则,就会形成一种新的分类方法,更符合人们的直观感受。使用这种新的分割原理对医学图像分割算法进行分类有助于阐明各种算法之间的关系。

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