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Parallel Immune Algorithm for Lung Cancer Detection in X-Ray Images Based on Object Shared Space

机译:基于对象共享空间的X射线图像并行免疫检测算法

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This paper discusses a parallel immune algorithm (IA) for detection of lung cancer in chest X-ray images based on object shared space. The template matching method is combined to the algorithm and Java Spaces is used as object shared space. The experiment results show that the algorithm is efficient for detecting suspected lung cancer in chest X-ray images.
机译:本文讨论了一种基于对象共享空间的并行免疫算法(IA),用于检测胸部X射线图像中的肺癌。模板匹配方法被组合到算法中,并且Java Spaces被用作对象共享空间。实验结果表明,该算法可有效地检测出胸部X射线图像中的可疑肺癌。

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