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Feasibility of shortening the
18
F-FDG Patlak scan time in a high-sensitivity short-axial field-of-view positron emission tomography-computed tomography system for oncological studies using deep learning denoising algorithms
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@article{{QIMS}{148471}, author = {Wang, L., Zhang, S., Yang, S., Ma, R., Li, H., Liu, J., Gao, J., Wei, Y., Fu, L.}, title = {Feasibility of shortening the <sup>18</sup>F-FDG Patlak scan time in a high-sensitivity short-axial field-of-view positron emission tomography-computed tomography system for oncological studies using deep learning denoising algorithms}, journal = {Quantitative Imaging in Medicine and Surgery}, volume = {16}, number = {2}, year = {2026}, url = {https://qims.amegroups.org/article/view/148471} }