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

机译:基于PCA的肺结节和改进的BP神经网络鉴定研究

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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:我们提出了一种肺结节的探测方法,其基于PCA和改进的BP神经网络施加到CT图像。通过应用通过竞争选择的改进的BP神经网络来获得由PCA处理的结节和血管的特征,分类,通过竞争选择,得到结果。实验结果表明,识别模型的实施简单,识别率高,训练速度快,训练有素的网络具有很好的分类能力。

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