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A paradigm shift in oncology imaging: a prospective cross-sectional study to assess low-dose deep learning image reconstruction versus standard-dose iterative reconstruction for comprehensive lesion detection in dual-energy computed tomography
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@article{{QIMS}{127436}, author = {Hou, P., Liu, N., Feng, X., Chen, Y., Wang, H., Wang, X., Liu, J., Zhan, P., Liu, X., Shang, B., Shen, Z., Wang, L., Gao, J., Lyu, P.}, title = {A paradigm shift in oncology imaging: a prospective cross-sectional study to assess low-dose deep learning image reconstruction versus standard-dose iterative reconstruction for comprehensive lesion detection in dual-energy computed tomography}, journal = {Quantitative Imaging in Medicine and Surgery}, volume = {14}, number = {9}, year = {2024}, url = {https://qims.amegroups.org/article/view/127436} }