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A machine learning model incorporating 18F-prostate-specific membrane antigen-1007 positron emission tomography/computed tomography and multiparametric magnetic resonance imaging for predicting prostate-specific antigen persistence in patients with prostate cancer after radical prostatectomy

   
@article{QIMS132277,
	author = {Fangansheng Chen and Jia Jiang and Yushi Peng and Ling Wang and Junping Lan and Shuying Bian and Hanzhe Wang and Zhe Xiao and Yimin Chen and Yinuo Fu and Xiangwu Zheng and Kun Tang},
	title = {A machine learning model incorporating 18F-prostate-specific membrane antigen-1007 positron emission tomography/computed tomography and multiparametric magnetic resonance imaging for predicting prostate-specific antigen persistence in patients with prostate cancer after radical prostatectomy},
	journal = {Quantitative Imaging in Medicine and Surgery},
	volume = {15},
	number = {1},
	year = {2024},
	keywords = {},
	abstract = {},
	issn = {2223-4306},	url = {https://qims.amegroups.org/article/view/132277}
}