Radiation dose reduction using deep learning-based image reconstruction for a low-dose chest computed tomography protocol: a phantom study.

MLA

Jung, Yunsub, et al. “Radiation Dose Reduction Using Deep Learning-Based Image Reconstruction for a Low-Dose Chest Computed Tomography Protocol: A Phantom Study.” Quantitative Imaging in Medicine and Surgery, vol. 13, no. 3, Mar. 2023, pp. 1937–47. EBSCOhost, https://doi.org/10.21037/qims-22-618.

APA

Jung, Y., Hur, J., Han, K., Imai, Y., Hong, Y. J., Im, D. J., Lee, K. H., Desnoyers, M., Thomsen, B., Shigemasa, R., Um, K., & Jang, K. (2023). Radiation dose reduction using deep learning-based image reconstruction for a low-dose chest computed tomography protocol: a phantom study. Quantitative Imaging in Medicine and Surgery, 13(3), 1937–1947. https://doi.org/10.21037/qims-22-618

Chicago

Jung, Yunsub, Jin Hur, Kyunghwa Han, Yasuhiro Imai, Yoo Jin Hong, Dong Jin Im, Kye Ho Lee, et al. 2023. “Radiation Dose Reduction Using Deep Learning-Based Image Reconstruction for a Low-Dose Chest Computed Tomography Protocol: A Phantom Study.” Quantitative Imaging in Medicine and Surgery 13 (3): 1937–47. doi:10.21037/qims-22-618.