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Authors
Zhu, Qianni https://orcid.org/0009-0003-4975-6861
Hu, Xiaocong https://orcid.org/0000-0003-1927-2439
Ye, Qihui
Wu, ChunXiang
Dong, XueWen
Li, Weihua https://orcid.org/0009-0001-0734-2703
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Funding
Funding for this research was provided by:
Sanming Project of Medicine in Shenzen Municipality
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Article History
Received: 31 December 2024
Revised: 6 March 2025
Accepted: 18 March 2025
First Online: 9 April 2025
Declarations
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: No complex statistical methods were necessary for this paper.
: The use of local data was approved by the institutional review board, with informed consent waived. In contrast, TCIA, being a publicly accessible database without patient identifiers, did not require institutional review board approval.
: The use of local data was approved by the institutional review board, with informed consent waived. In contrast, TCIA, being a publicly accessible database without patient identifiers, did not require institutional review board approval.
: The RHUH dataset has already been reported in the following publication:The authors recommended this paper as the best source of additional information about the dataset: Cepeda, S., García-García, S., Arrese, I., Herrero, F., Escudero, T., Zamora, T., & Sarabia, R. (2023). The Río Hortega University Hospital Glioblastoma dataset: A comprehensive collection of preoperative, early postoperative, and recurrence MRI scans (RHUH-GBM). In Data in Brief (Vol. 50, p. 109617). Elsevier BV. .
: Methodology: retrospective.
: The authors declare that they have no conflicts of interest related to this study. There are no financial relationships with any organizations that could have an interest in the submitted work.
