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Automatic 3D segmentation of human brain images using data-mining techniques

机译:使用数据挖掘技术对人脑图像进行自动3D分割

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This paper proposes a method for automatic 3D segmentation of human brain CT scans using data mining techniques. The brain scans are processed in 2D and 3D. The proposed method has several steps - image pre-processing, segmentation, feature extraction from segments, data mining, and post-processing. The method introduced is implemented in 3D image processing extension for the RapidMiner platform, and both are provided as open source. With testing data the resultant performance selection of tissue slices from the brain image was 98.08% when compared to human expert results.
机译:本文提出了一种使用数据挖掘技术对人脑CT扫描进行3D自动分割的方法。脑部扫描以2D和3D处理。所提出的方法有几个步骤-图像预处理,分割,从片段中提取特征,数据挖掘和后处理。引入的方法在RapidMiner平台的3D图像处理扩展中实现,并且两者均作为开源提供。根据测试数据,与人类专家的结果相比,从大脑图像中选择的组织切片的性能选择为98.08%。

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