Comparative study of 2D vs. 3D AI-enhanced ultrasound for fetal crown-rump length evaluation in the first trimester
The 3DCRL-Net model provides a rapid, accurate, and fully automated solution for CRL measurement in 3D ultrasound, achieving expert-level performance and significantly improving the efficiency and reliability of first-trimester fetal growth assessment.
Authors
- Xing Hu (ORCID: https://orcid.org/0000-0001-7495-8973)
- Yankai Huang
- Yuanji Zhang (ORCID: https://orcid.org/0000-0002-5398-7588)
- Huanjia Luo
- Haixia Wang (ORCID: https://orcid.org/0000-0002-2378-2725)
- Yan Cao (ORCID: https://orcid.org/0000-0001-6169-9618)
- Chao‐Yu Chen (ORCID: https://orcid.org/0000-0001-6111-2602)
- Yi Xiong (ORCID: https://orcid.org/0000-0001-8418-9514)
- Yuhao Huang (ORCID: https://orcid.org/0000-0002-0126-1857)
- Yan Yi (ORCID: https://orcid.org/0000-0003-3405-2987)
- Dong Ni
- Wenxiong Pan (ORCID: https://orcid.org/0000-0002-9402-135X)
Institutions
- Shenzhen University (CN)
- Huizhou Central People's Hospital (CN)
- Southern Medical University Shenzhen Hospital (CN)
- Shenzhen Luohu People's Hospital (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- BMC Pregnancy and Childbirth
- Published
- 2025-07-16
- DOI
- https://doi.org/10.1186/s12884-025-07823-6
- Primary Topic
- Prenatal Screening and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Science and Technology Planning Project of Guangdong Province
- Guangxi Key Research and Development Program