Cite
Clinical feasibility of deep learning-based synthetic CT images from T2-weighted MR images for cervical cancer patients compared to MRCAT.
MLA
Kim, Hojin, et al. “Clinical Feasibility of Deep Learning-Based Synthetic CT Images from T2-Weighted MR Images for Cervical Cancer Patients Compared to MRCAT.” Scientific Reports, vol. 14, no. 1, Apr. 2024, pp. 1–12. EBSCOhost, https://doi.org/10.1038/s41598-024-59014-6.
APA
Kim, H., Yoo, S. K., Kim, J. S., Kim, Y. T., Lee, J. W., Kim, C., Hong, C.-S., Lee, H., Han, M. C., Kim, D. W., Kim, S. Y., Kim, T. M., Kim, W. H., Kong, J., & Kim, Y. B. (2024). Clinical feasibility of deep learning-based synthetic CT images from T2-weighted MR images for cervical cancer patients compared to MRCAT. Scientific Reports, 14(1), 1–12. https://doi.org/10.1038/s41598-024-59014-6
Chicago
Kim, Hojin, Sang Kyun Yoo, Jin Sung Kim, Yong Tae Kim, Jai Wo Lee, Changhwan Kim, Chae-Seon Hong, et al. 2024. “Clinical Feasibility of Deep Learning-Based Synthetic CT Images from T2-Weighted MR Images for Cervical Cancer Patients Compared to MRCAT.” Scientific Reports 14 (1): 1–12. doi:10.1038/s41598-024-59014-6.