P, L., JM, Z., CW, L., QQ, T., JS, P., Q, Q., . . . H, Y. (2025). Radiogenomic insights suggest that multiscale tumor heterogeneity is associated with interpretable radiomic features and outcomes in cancer patients. Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society, 124, 102586. https://doi.org/10.1016/j.compmedimag.2025.102586
Chicago Style (17th ed.) CitationP, Lin, Zheng JM, Liu CW, Tang QQ, Pang JS, Qin Q, Lin ZH, and Yang H. "Radiogenomic Insights Suggest That Multiscale Tumor Heterogeneity Is Associated with Interpretable Radiomic Features and Outcomes in Cancer Patients." Computerized Medical Imaging and Graphics : The Official Journal of the Computerized Medical Imaging Society 124 (2025): 102586. https://doi.org/10.1016/j.compmedimag.2025.102586.
MLA (9th ed.) CitationP, Lin, et al. "Radiogenomic Insights Suggest That Multiscale Tumor Heterogeneity Is Associated with Interpretable Radiomic Features and Outcomes in Cancer Patients." Computerized Medical Imaging and Graphics : The Official Journal of the Computerized Medical Imaging Society, vol. 124, 2025, p. 102586, https://doi.org/10.1016/j.compmedimag.2025.102586.