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Improving the malignancy prediction of breast cancer based on the integration of radiomics features from dual-view mammography and clinical parameters

Crossref DOI link: https://doi.org/10.1007/s10238-022-00944-8

Published Online: 2022-11-21

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

Authors

Zhou, Chenyi

Xie, Hui

Zhu, Fanglian

Yan, Wanying

Yu, Ruize

Wang, Yanling
Funding

Funding for this research was provided by:

the Scientific Research Project of Jiangsu Maternal and Child Health Association (FYX202020, FYX202020, FYX202020)

the Science Innovation Fund Project from the People's Hospital of SND (SGY2021A05, SGY2021A05)
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Text and Data Mining valid from 2022-11-21

Version of Record valid from 2022-11-21
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Article History

Received: 7 September 2022

Accepted: 5 November 2022

First Online: 21 November 2022

Declarations

:

: The authors declare no conflict of interest.

: The study was performed in line with the Declaration of Helsinki, and approved by the Institutional Review Board of the People’s Hospital of SND (protocol code was [2021] No.004 and data of approval was February 23, 2021). Patient consent was waived due to the nature of this retrospective study.

: The authors affirm that human research participants provided informed consent for publication of the images in Figs. InternalRef removed and InternalRef removed.

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