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Multichannel deep learning using multiregional DCE-MRI to predict axillary pathological complete response after neoadjuvant chemotherapy in breast cancer

Crossref DOI link: https://doi.org/10.1186/s12880-026-02736-y

Published Online: 2026-09-01

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

Authors

Liao, Jun

Xu, Mengting

Li, Ruimin

Li, Shunian

Cao, Ziwei

Wang, Danyang

Li, Yongli

Wang, Meiyun

Tan, Hongna
Funding

Funding for this research was provided by:

Medical Science and Technological Project of Henan Province (No. LHGJ20220055)
License Information

Text and Data Mining valid from 2026-09-01

Accepted Manuscript valid from 2026-09-01
More Information

Article History

Received: 14 January 2026

Accepted: 24 August 2026

First Online: 1 September 2026

Declarations

Ethics approval and consent to participate: This study was conducted in accordance with the Declaration of Helsinki. The study was approved by the Ethics Committee of Henan Provincial People’s Hospital (No: 2022 − 124), and the participants informed consent requirement was waived.

Consent for publication: Not applicable.

Competing interests: The authors declare no competing interests.

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