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Authors
Wang, Yu
Huang, Guoheng
Lu, Zeng
Wang, Ying
Chen, Xuhang
Yuan, Xiaochen
Li, Yan https://orcid.org/0009-0006-9503-1441
Liu, Jieni
Huang, Yingping
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Funding
Funding for this research was provided by:
Key Areas Research and Development Program of Guangzhou Grant (2023B01J0029)
Science and technology research in key areas in Foshan (2020001006832)
Key-Area Research and Development Program of Guangdong Province (2018B010109007, 2019B010153002)
Science and technology projects of Guangzhou (202007040006)
Guangdong Provincial Key Laboratory of Cyber-Physical System (2020B1212060069)
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Article History
Received: 9 June 2024
Accepted: 28 August 2024
First Online: 24 September 2024
Change Date: 24 November 2024
Change Type: Update
Change Details: The original online version of this article was revised: The biography information of the first author and the eighth author is incorrect.
Declarations
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: The authors declare no competing interests.
: We propose a noval deep learning solution for the 3D medical image segmentation. The medical images used in this study are from the publicly available Synapse and ACDC dataset. Therefore, ethics approval and consent to participate were not required.
: Confirm that all participants have consented to the submission of the study to the journal.
