Wei, Hong
Zheng, Tianying
Zhang, Xiaolan
Wu, Yuanan
Chen, Yidi
Zheng, Chao
Jiang, Difei
Wu, Botong
Guo, Hua
Jiang, Hanyu
Song, Bin http://orcid.org/0000-0002-7269-2101
Funding for this research was provided by:
National Natural Science Foundation of China (82101997, 82101997, 82101997, 82101997, 82101997)
China Postdoctoral Science Foundation (2023T160448)
the 1.3.5 project for disciplines of excellence, West China Hospital, Sichuan University (ZYJC21012)
Article History
Received: 13 January 2024
Accepted: 23 March 2024
First Online: 20 May 2024
Declarations
:
: The study was approved by the Biomedical Ethics Review Committee of West China Hospital, Sichuan University (Approval Numbers: 2022-651) with a waived requirement for informed consent (retrospective design).
: Not applicable.
: Four authors of this manuscript declare a relationship with the following companies: XZ, CZ, and DJ are employees of Shukun Technology Co., Ltd. HJ is a stock owner of Kanghong Technology Co., Ltd. BS is a Deputy Editor for <i>Insights into Imaging</i>. They were not involved in the selection or review process for this article. The remaining authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article. The Shukun employees developed the deep learning automated segmentation software that was provided to our study work under master research agreement. The Shukun employees had no access to the clinical data and did not participate in image interpretation.