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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

   
@article{QIMS127436,
	author = {Ping Hou and Nana Liu and Xiangnan Feng and Yan Chen and Huixia Wang and Xiaopeng Wang and Jie Liu and Pengchao Zhan and Xing Liu and Bo Shang and Zhimeng Shen and Luotong Wang and Jianbo Gao and Peijie Lyu},
	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},
	keywords = {},
	abstract = {},
	issn = {2223-4306},	url = {https://qims.amegroups.org/article/view/127436}
}