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Identification research of pulmonary nodules based on PCA and the improved BP neural network

机译:基于PCA和改进BP神经网络的肺结节识别研究

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摘要

We propose a detective method of pulmonary nodules which is applied to CT image based on PCA and the improved BP neural network. Characteristics of nodules and vascular which are processed by PCA have been obtained, classified by applying the improved BP neural network, selected by competition, recognized by results. Experiment results show that implementation of the recognition model is simple, recognition rate is high, speed of training and recognition is fast, and the trained network has very good classification ability.
机译:本文提出了一种基于PCA和改进的BP神经网络的肺结节检测方法。通过应用改进的BP神经网络对PCA处理的结节和血管的特性进行了分类,并通过竞争进行了选择,结果得到了认可。实验结果表明,该识别模型的实现简单,识别率高,训练和识别速度快,训练后的网络具有很好的分类能力。

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