Abstract—Lung cancer is the world’s highest morbidity and mortality cancer, which seriously threatens the life and health of the public. Early detection and diagnosis of lung nodules is an important prerequisite for lung cancer prevention and diagnosis. This paper designs a new structure which is a Squeeze-and-Excitation Convolutional Neural Network. Experimental results show that SE-CNN can recognize the benign and malignant lung nodules. SE-CNN is more effective than CNN for classification of benign and malignant lung nodules.
 

Index Terms—squeeze-and-excitation convolutional network, classify, lung nodules, the LIDC-IDRI database

Cite: Ying Chen, Weiwei Du, Xiaojie Duan, Yanhe Ma, and Hong Zhang, "Squeeze-and-Excitation Convolutional Neural Network for Classification of Malignant and Benign Lung Nodules," Journal of Advances in Information Technology, Vol. 12, No. 2, pp. 153-158, May 2021. doi: 10.12720/jait.12.2.153-158

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