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Authors
Li, Qiong
Xu, Wei-Yue
Sun, Na-Na
Feng, Qiu-Xia
Hou, Ya-Jun
Sang, Zi-Tong
Zhu, Zhen-Ning
Hsu, Yi-Cheng
Nickel, Dominik
Xu, Hao
Zhang, Yu-Dong
Liu, Xi-Sheng https://orcid.org/0000-0002-6475-5483
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Funding
Funding for this research was provided by:
National Natural Science Foundation of China (82272082, 82071919)
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Article History
Received: 29 February 2024
Revised: 29 March 2024
Accepted: 29 March 2024
First Online: 25 April 2024
Declarations
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: We declare that all authors have no financial and personal relationships with other people or organizations that can inappropriately influence our work, there is no professional or other personal interest of any nature or kind in any product, service and/or company that could be construed as influencing the position presented in, or the review of, the manuscript entitled “Deep learning-accelerated T2WI: analysis of image quality, efficiency, and staging performance against BLADE T2WI for gastric cancer.
