APA (7th ed.) Citation

Kwon, R., Kim, H., Ahn, K. S., Song, B., Lee, J., Kim, H. W., . . . Kang, K. J. (2024). A Machine Learning-Based Clustering Using Radiomics of F-18 Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography for the Prediction of Prognosis in Patients with Intrahepatic Cholangiocarcinoma. Diagnostics (2075-4418), 14(19), 2245. https://doi.org/10.3390/diagnostics14192245

Chicago Style (17th ed.) Citation

Kwon, Rosie, et al. "A Machine Learning-Based Clustering Using Radiomics of F-18 Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography for the Prediction of Prognosis in Patients with Intrahepatic Cholangiocarcinoma." Diagnostics (2075-4418) 14, no. 19 (2024): 2245. https://doi.org/10.3390/diagnostics14192245.

MLA (9th ed.) Citation

Kwon, Rosie, et al. "A Machine Learning-Based Clustering Using Radiomics of F-18 Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography for the Prediction of Prognosis in Patients with Intrahepatic Cholangiocarcinoma." Diagnostics (2075-4418), vol. 14, no. 19, 2024, p. 2245, https://doi.org/10.3390/diagnostics14192245.