Benign and malignant pulmonary nodule identifying apparatus and method based on improved capsule network

The invention discloses a benign and malignant pulmonary nodule identifying system and method based on an improved capsule network, which are characterized in that a new activation function operation(shown in the description) is proposed in a full connection structure of the capsule network, wherein vj is an output vector, and sj is an intermediate vector after dynamic routing adjustment. The beneficial effects are that the activation function can improve the convergence speed of the capsule network and the image identifying accuracy thereof; meanwhile, based on the advantages of the capsulenetwork on the image identifying of the convolution neural network, the pulmonary nodule identification effect of the benign and malignant pulmonary nodule identifying system and method is greatly superior to that of the traditional recognition tools. 本发明公开种基于改进胶囊网络的良恶性肺结节识别系统及方法，其特征在于在胶囊网络的全连接结构中提出了种新的激活函数运算：其中，v为输出向量，s为动态路由调节后的中间向量。有益效果：该激活函数能够提高胶囊网络的收敛速度，且提升其图像识别准确度，同时，基于胶囊网络本身对卷积神经网络在图像识别的优势，本发明在肺结节的识别效果上极大优于传统识别工具。