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The result prediction of fluorescence in situ hybridization for breast cancer patients based on machine learning and deep learning models: a multicenter study

Crossref DOI link: https://doi.org/10.1186/s40644-026-01015-x

Published Online: 2026-03-13

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

Authors

Jiang, Cong

Chen, Dong

Yu, Xiao

Zhang, Shentao

Xiu, Yuting

Luo, Ningbin

Wu, Jingjing

Zhang, Xuefang

Chen, Man

Yang, Dechun

Zhu, Ziyu

Huang, Yuanxi

Ning, Shipeng

Tang, Shicong
License Information

Text and Data Mining valid from 2026-03-13

Accepted Manuscript valid from 2026-03-13
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Article History

Received: 6 January 2026

Accepted: 6 March 2026

First Online: 13 March 2026

Declarations

:

: This study is consistent with the 1964 Declaration of Helsinki of the World Medical Association and its later revisions. All patients signed informed consent prior to treatment. It was approved by the ethics committee of each Hospital.

: The authors declare no competing interests.

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