Zeng, Y., Chen, J., Lin, S., Liu, H., Zhou, Y., & Zhou, X. Radiomics integration based on intratumoral and peritumoral computed tomography improves the diagnostic efficiency of invasiveness in patients with pure ground-glass nodules: A machine learning, cross-sectional, bicentric study. BMC.
Chicago Style (17th ed.) CitationZeng, Ying, Jing Chen, Shanyue Lin, Haibo Liu, Yingjun Zhou, and Xiao Zhou. Radiomics Integration Based on Intratumoral and Peritumoral Computed Tomography Improves the Diagnostic Efficiency of Invasiveness in Patients with Pure Ground-glass Nodules: A Machine Learning, Cross-sectional, Bicentric Study. BMC.
MLA (9th ed.) CitationZeng, Ying, et al. Radiomics Integration Based on Intratumoral and Peritumoral Computed Tomography Improves the Diagnostic Efficiency of Invasiveness in Patients with Pure Ground-glass Nodules: A Machine Learning, Cross-sectional, Bicentric Study. BMC.