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Deep learning-based tumor segmentation and radiogenomic model for predicting EGFR amplification and assessing intratumoural heterogeneity in glioblastoma

Crossref DOI link: https://doi.org/10.1186/s40537-025-01221-7

Published Online: 2025-07-11

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Liu, Jianpeng

Shen, Chuyun

Jiang, Shufan

Wu, Yanfei

Tu, Jiaqi

Bao, Yifang

Li, Haiqing

Wang, Na

Liu, Ying

Xiong, Ji

Liu, Xueling

Li, Yuxin
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (82402211)
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Text and Data Mining valid from 2025-07-11

Version of Record valid from 2025-07-11
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Article History

Received: 17 February 2025

Accepted: 21 June 2025

First Online: 11 July 2025

Declarations

:

: The study was conducted according to the guidelines of the Declaration of Helsinki and and approved by the Ethics Committee of the Huashan Hospital of Fudan University (Approval No. 2021 − 548).

: The requirement for informed consent was waived due to the retrospective nature of this study.

: The authors have no relevant financial or non-financial interests to disclose.

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