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A non-invasive preoperative prediction model for predicting axillary lymph node metastasis in breast cancer based on a machine learning approach: combining ultrasonographic parameters and breast gamma specific imaging features

Crossref DOI link: https://doi.org/10.1186/s13014-024-02453-2

Published Online: 2024-05-27

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

Authors

Cai, Ranze

Deng, Li

Zhang, Hua

Zhang, Hongwei

Wu, Qian
Funding

Funding for this research was provided by:

the Foundation of Zhongshan Hospital, Fudan University (KYYJ202014)

the Natural Science Foundation of Xiamen City (3502Z202373086)
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Text and Data Mining valid from 2024-05-27

Version of Record valid from 2024-05-27
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Article History

Received: 31 July 2023

Accepted: 13 May 2024

First Online: 27 May 2024

Declarations

:

: The ethical approval of this study was granted by ethics committee of Zhongshan Hospital. The need of informed consent was waived by ethics committee of Zhongshan Hospital due to retrospective nature of the study. All experiments were performed with the Declaration of Helsinki.

: Not applicable.

: The authors declare no competing interests.

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