APA (7th ed.) Citation

JJ, P., M, H., I, J., M, W., N, G., HC, K., . . . AL, S. (2025). Finding Reproducible and Prognostic Radiomic Features in Variable Slice Thickness Contrast Enhanced CT of Colorectal Liver Metastases. The journal of machine learning for biomedical imaging, 2(UNSURE2023), 2326. https://doi.org/10.59275/j.melba.2024-24gc

Chicago Style (17th ed.) Citation

JJ, Peoples, et al. "Finding Reproducible and Prognostic Radiomic Features in Variable Slice Thickness Contrast Enhanced CT of Colorectal Liver Metastases." The Journal of Machine Learning for Biomedical Imaging 2, no. UNSURE2023 (2025): 2326. https://doi.org/10.59275/j.melba.2024-24gc.

MLA (9th ed.) Citation

JJ, Peoples, et al. "Finding Reproducible and Prognostic Radiomic Features in Variable Slice Thickness Contrast Enhanced CT of Colorectal Liver Metastases." The Journal of Machine Learning for Biomedical Imaging, vol. 2, no. UNSURE2023, 2025, p. 2326, https://doi.org/10.59275/j.melba.2024-24gc.