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Development of a prognostic model for preoperative stage I–III breast cancer using machine learning with integrated cone-beam breast computed tomography data

Crossref DOI link: https://doi.org/10.1007/s11547-025-02128-2

Published Online: 2025-10-29

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

Authors

Zhao, Yang

Deng, Wenjuan

Zhou, Shanshan

Kang, Wei

Wei, Wei

Huang, Caiyun

Su, Danke

Liu, Haizhou https://orcid.org/0000-0001-5111-5295
Funding

Funding for this research was provided by:

Self-funded scientific research project of the Guangxi Zhuang Autonomous Region Health Committee (Grant No. 20232538)

Regional High-Incidence Diseases Research of Guangxi Natural Science Foundation (No. 2023GXNSFBA026283)

Regional High-Incidence Diseases Research of Guangxi Natural Science Foundation (2023GXNSFBA026035)

Regional High-Incidence Diseases Research of Guangxi Natural Science Foundation (2023GXNSFBA026247)
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Text and Data Mining valid from 2025-10-29

Version of Record valid from 2025-10-29
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Article History

Received: 11 February 2025

Accepted: 14 October 2025

First Online: 29 October 2025

Declarations

:

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

: This retrospective study was approved by the ethics committee of Guangxi Medical University Cancer Hospital (No. KY-2022–412).

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