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A novel CMC based method for MR! brain image segmentation

机译:一种新颖的基于CMC的MR!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脑图像的分割作为主要步骤已被广泛用于不同的医学图像分析应用中。本文提出了一种基于多分类器组合(CMC)的新方法,该方法是针对MRI脑图像分割而设计的。作为我们先前的工作,这种重要的方法类别在该领域首次使用。在本文中,我们更改了分类器在整体中相互协作的方式。为了达到这个目的,使用一种聚类方法将数据集划分为不同的聚类,然后一组分类器彼此适当地协作以对每个测试样本进行分类。与集成中的单个分类器相比,该方法被应用于著名的IBSR数据集,并且可以取得有希望的结果。

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