Li, W.; Yu, S.; Yang, R.; Tian, Y.; Zhu, T.; Liu, H.; Jiao, D.; Zhang, F.; Liu, X.; Tao, L.;
et al. Machine Learning Model of ResNet50-Ensemble Voting for Malignant–Benign Small Pulmonary Nodule Classification on Computed Tomography Images. Cancers 2023, 15, 5417.
https://doi.org/10.3390/cancers15225417
AMA Style
Li W, Yu S, Yang R, Tian Y, Zhu T, Liu H, Jiao D, Zhang F, Liu X, Tao L,
et al. Machine Learning Model of ResNet50-Ensemble Voting for Malignant–Benign Small Pulmonary Nodule Classification on Computed Tomography Images. Cancers. 2023; 15(22):5417.
https://doi.org/10.3390/cancers15225417
Chicago/Turabian Style
Li, Weiming, Siqi Yu, Runhuang Yang, Yixing Tian, Tianyu Zhu, Haotian Liu, Danyang Jiao, Feng Zhang, Xiangtong Liu, Lixin Tao,
and et al. 2023. "Machine Learning Model of ResNet50-Ensemble Voting for Malignant–Benign Small Pulmonary Nodule Classification on Computed Tomography Images" Cancers 15, no. 22: 5417.
https://doi.org/10.3390/cancers15225417
APA Style
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
