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Premature brain damage image classification algorithm based on association rules

机译:基于关联规则的过早脑损伤图像分类算法

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Aiming at the particularity of MRI images, the ARC algorithm which is suitable for medical image processing is present. The new method introduces the bi-support association rules based on FP-tree. In the process of generating the rule of association class and constructing the FP-tree, the maximum support is introduced on the premise of minimal support. It can make the support of discovered rules be between the maximum support and minimal support. so through the bi-support, the interference in the rules is excluded. Experiments shows that this ARC method could achieve better results in practice than CMAR in the operational efficiency and classification accuracy. It is very effective in CWMD digital image classification.
机译:针对MRI图像的特殊性,提出了适用于医学图像处理的ARC算法。该新方法引入了基于FP-tree的双向支持关联规则。在生成关联类规则和构造FP树的过程中,以最小支持为前提引入最大支持。它可以使发现规则的支持介于最大支持和最小支持之间。因此,通过双支持,可以排除规则中的干扰。实验表明,在操作效率和分类精度上,这种ARC方法比CMAR在实践中可以获得更好的结果。在CWMD数字图像分类中非常有效。

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