APA (7th ed.) Citation

KH, L., YH, C., SC, C., CB, L., BS, C., PY, C., & SH, L. (2026). Combining the prognostic values of entropy-based heterogeneity features from 18 F-fluorodeoxyglucose PET and transmission computed tomography using machine learning in patients with lung adenocarcinoma undergoing curative surgery. Nuclear medicine communications, 47(4), 479. https://doi.org/10.1097/MNM.0000000000002098

Chicago Style (17th ed.) Citation

KH, Lue, Chen YH, Chu SC, Lin CB, Chang BS, Chang PY, and Liu SH. "Combining the Prognostic Values of Entropy-based Heterogeneity Features from 18 F-fluorodeoxyglucose PET and Transmission Computed Tomography Using Machine Learning in Patients with Lung Adenocarcinoma Undergoing Curative Surgery." Nuclear Medicine Communications 47, no. 4 (2026): 479. https://doi.org/10.1097/MNM.0000000000002098.

MLA (9th ed.) Citation

KH, Lue, et al. "Combining the Prognostic Values of Entropy-based Heterogeneity Features from 18 F-fluorodeoxyglucose PET and Transmission Computed Tomography Using Machine Learning in Patients with Lung Adenocarcinoma Undergoing Curative Surgery." Nuclear Medicine Communications, vol. 47, no. 4, 2026, p. 479, https://doi.org/10.1097/MNM.0000000000002098.