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A novel CMC based method for MR! brain image segmentation

机译:基于CMC的先生方法!大脑图像分割

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Segmentation of MRI brain images as a primary step has been significantly used for different medical image analysis applications. In this paper, a new method is proposed based on Combination of Multiple Classifiers (CMC) that is appropriately devised for MRI brain image segmentation. This important category of methods is used for the first time in this area, as our previous work. In this paper, we changed the way that classifiers are cooperating with each other in the ensemble. For achieving this aim, a clustering method is used to divide datasets into different clusters, then a set of classifiers properly cooperates with each other for classifying each test sample. The proposed method is applied on the well-known dataset of IBSR and it can achieved promising results, as compared to the individual classifiers within the ensemble.
机译:MRI脑图像作为主要步骤的分割已被显着用于不同的医学图像分析应用。在本文中,提出了一种基于用于MRI脑图像分割的多种分类器(CMC)的组合的新方法。作为我们以前的工作,这一领域的第一次使用了这类重要的方法。在本文中,我们改变了分类器在集合中彼此合作的方式。为了实现此目的,群集方法用于将数据集分成不同的集群,然后一组分类器彼此适当地协作,用于分类每个测试样本。所提出的方法应用于IBSR的众所周知的DataSet,并且与集合内的各个分类器相比,它可以实现有希望的结果。

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