Improving radiomics reproducibility using deep learning-based image conversion of CT reconstruction algorithms in hepatocellular carcinoma patients.

MLA

Lee, Heejin, et al. “Improving Radiomics Reproducibility Using Deep Learning-Based Image Conversion of CT Reconstruction Algorithms in Hepatocellular Carcinoma Patients.” European Radiology, vol. 34, no. 3, Mar. 2024, pp. 2036–47. EBSCOhost, https://doi.org/10.1007/s00330-023-10135-y.

APA

Lee, H., Chang, W., Kim, H. Y., Sung, P., Cho, J., Lee, Y. J., & Kim, Y. H. (2024). Improving radiomics reproducibility using deep learning-based image conversion of CT reconstruction algorithms in hepatocellular carcinoma patients. European Radiology, 34(3), 2036–2047. https://doi.org/10.1007/s00330-023-10135-y

Chicago

Lee, Heejin, Won Chang, Hae Young Kim, Pamela Sung, Jungheum Cho, Yoon Jin Lee, and Young Hoon Kim. 2024. “Improving Radiomics Reproducibility Using Deep Learning-Based Image Conversion of CT Reconstruction Algorithms in Hepatocellular Carcinoma Patients.” European Radiology 34 (3): 2036–47. doi:10.1007/s00330-023-10135-y.