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Deep learning MRI-based radiomic models for predicting recurrence in locally advanced nasopharyngeal carcinoma after neoadjuvant chemoradiotherapy: a multi-center study

Crossref DOI link: https://doi.org/10.1007/s10585-025-10349-y

Published Online: 2025-05-15

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

Authors

Hu, Chunmiao

Xu, Congrui

Chen, Jiaxin

Huang, Yiling

Meng, Qingcheng

Lin, Zhian

Huang, Xinming

Chen, Li
Funding

Funding for this research was provided by:

Natural Science Fund in FuJian Projects (2023J0112)

Open Research Fund of Fujian Key Laboratory of Medical Bioinformatics (FKLMB-202004)
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Text and Data Mining valid from 2025-05-15

Version of Record valid from 2025-05-15
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Article History

Received: 25 July 2024

Accepted: 28 April 2025

First Online: 15 May 2025

Declarations

:

: The retrospective study was approved by the Fujian Cancer Hospital Ethics Committee and the requirement for informed patient consent was waived.

: The authors declare no competing interests.

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