Cite
Machine Learning Model of ResNet50-Ensemble Voting for Malignant–Benign Small Pulmonary Nodule Classification on Computed Tomography Images.
MLA
Li, Weiming, et al. “Machine Learning Model of ResNet50-Ensemble Voting for Malignant–Benign Small Pulmonary Nodule Classification on Computed Tomography Images.” Cancers, vol. 15, no. 22, Nov. 2023, p. 5417. EBSCOhost, https://doi.org/10.3390/cancers15225417.
APA
Li, W., Yu, S., Yang, R., Tian, Y., Zhu, T., Liu, H., Jiao, D., Zhang, F., Liu, X., Tao, L., Gao, Y., Li, Q., Zhang, J., & Guo, X. (2023). Machine Learning Model of ResNet50-Ensemble Voting for Malignant–Benign Small Pulmonary Nodule Classification on Computed Tomography Images. Cancers, 15(22), 5417. https://doi.org/10.3390/cancers15225417
Chicago
Li, Weiming, Siqi Yu, Runhuang Yang, Yixing Tian, Tianyu Zhu, Haotian Liu, Danyang Jiao, et al. 2023. “Machine Learning Model of ResNet50-Ensemble Voting for Malignant–Benign Small Pulmonary Nodule Classification on Computed Tomography Images.” Cancers 15 (22): 5417. doi:10.3390/cancers15225417.