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Prediction of uterine cavity conception environment using two-dimensional transvaginal ultrasound imaging semantic feature-based machine learning: a case-control study

Crossref DOI link: https://doi.org/10.1186/s12884-025-08390-6

Published Online: 2025-11-14

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

Authors

Zhang, Jinwei

Liu, Shuang

Rong, Yue

Liu, Shangqing

Zhong, Chunyan

Tu, Peng

Zhang, Xiaohang

Ran, Suzhen
Funding

Funding for this research was provided by:

Natural Science Foundation of Chongqing Municipality (CSTB2023NSCQ-BHX0100)

the open projects of the Chongqing Research Center for Prevention & Control of Maternal and Child Diseases and Public Health (CQFYSJ01002)
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Text and Data Mining valid from 2025-11-14

Version of Record valid from 2025-11-14
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Article History

Received: 18 August 2025

Accepted: 16 October 2025

First Online: 14 November 2025

Declarations

:

: The Ethics Committee of the Women and Children’s Hospital of Chongqing Medical University approved this retrospective study (approval number: IRB-2024056), and the requirement for informed consent was waived.

: Not applicable.

: The authors declare no competing interests.

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