K, R., HL, J., KØ, M., EK, A., RO, L., & KE, M. (2023). Performance and clinical applicability of machine learning in liver computed tomography imaging: A systematic review. European radiology, 33(10), 6689. https://doi.org/10.1007/s00330-023-09609-w
Chicago Style (17th ed.) CitationK, Radiya, Joakimsen HL, Mikalsen KØ, Aahlin EK, Lindsetmo RO, and Mortensen KE. "Performance and Clinical Applicability of Machine Learning in Liver Computed Tomography Imaging: A Systematic Review." European Radiology 33, no. 10 (2023): 6689. https://doi.org/10.1007/s00330-023-09609-w.
MLA (9th ed.) CitationK, Radiya, et al. "Performance and Clinical Applicability of Machine Learning in Liver Computed Tomography Imaging: A Systematic Review." European Radiology, vol. 33, no. 10, 2023, p. 6689, https://doi.org/10.1007/s00330-023-09609-w.