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Deep learning-based multimodal fusion of MRI and whole slide image for predicting neoadjuvant therapy response in locally advanced head and neck squamous cell carcinoma

Crossref DOI link: https://doi.org/10.1186/s12880-026-02173-x

Published Online: 2026-01-21

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

Authors

Kang, Yue

Ding, Cong

Li, Zheng

Bai, Fan

Bai, Genji

Qu, Xiaoxia

Liu, Honggang

Xian, Junfang
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (82402215)

National Natural Science Foundation of China (82471951)

National Key R&D Program of China (2022YFC2404005)
License Information

Text and Data Mining valid from 2026-01-21

Version of Record valid from 2026-02-13
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Article History

Received: 21 June 2025

Accepted: 19 January 2026

First Online: 21 January 2026

Declarations

:

: The retrospective study was conducted according to the guidelines of the Declaration of Helsinki, approved by the Institutional Review Board of Beijing Tongren Hospital, and the requirement for informed consent was waived.

: Not applicable.

: The authors declare no competing interests.

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