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Feasibility of shortening the 18F-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

   
@article{QIMS148471,
	author = {Ling Wang and Shixiang Zhang and Sen Yang and Rongzheng Ma and Honglei Li and Jie Liu and Jin Gao and Yidan Wei and Liping Fu},
	title = {Feasibility of shortening the 18F-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},
	keywords = {},
	abstract = {},
	issn = {2223-4306},	url = {https://qims.amegroups.org/article/view/148471}
}