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Intelligent quality assessment of ultrasound images for fetal nuchal translucency measurement during the first trimester of pregnancy based on deep learning models

Crossref DOI link: https://doi.org/10.1186/s12884-025-07863-y

Published Online: 2025-07-10

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

Authors

Liu, Lu

Wang, Ting

Zhu, Wenjing

Zhang, Haidong

Tian, Hongyan

Li, Yanping

Cai, Wenjun

Yang, Peng
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Text and Data Mining valid from 2025-07-10

Version of Record valid from 2025-07-10
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Article History

Received: 18 December 2024

Accepted: 19 June 2025

First Online: 10 July 2025

Declarations

:

: The study was conducted in accordance with the Declaration of Helsinki and approved by the ethical committees of the South China Hospital of Shenzhen University (approval number: HNLS20240326001-A). Patient consent was waived by the ethical committees due to the retrospective nature of the study. (the date of approval: 2024-3-30)

: Not applicable. Patient consent was waived by the ethical committees due to the retrospective nature of the study.

: The authors declare no competing interests.

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