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Ultra-low-dose hepatic computed tomography with a novel real-time deep learning-based noise reduction algorithm: a prospective cross-sectional analysis of image quality and lesion detection

  
@article{QIMS140249,
	author = {Ping Hou and Xiangnan Feng and Yan Chen and Xiaopeng Wang and Yaojun Jiang and Jie Liu and Chensi Xu and Peijie Lyu and Zhigang Zhou and Jianbo Gao},
	title = {Ultra-low-dose hepatic computed tomography with a novel real-time deep learning-based noise reduction algorithm: a prospective cross-sectional analysis of image quality and lesion detection},
	journal = {Quantitative Imaging in Medicine and Surgery},
	volume = {15},
	number = {8},
	year = {2025},
	keywords = {},
	abstract = {},
	issn = {2223-4306},	url = {https://qims.amegroups.org/article/view/140249}
}