A machine learning model based on placental magnetic resonance imaging and clinical factors to predict fetal growth restriction

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Publication Details

Journal
BMC Pregnancy and Childbirth
Published
2025-03-20
DOI
https://doi.org/10.1186/s12884-025-07450-1
Citations
3
Primary Topic
Pregnancy and preeclampsia studies
Type
article
Field-Weighted Citation Impact
6.17
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article

A machine learning model based on placental magnetic resonance imaging and clinical factors to predict fetal growth restriction

Yu Zou, Jida Wang, Zhuying Chen, Meixiang Deng et al.
3 citations
BMC Pregnancy and Childbirth
Pregnancy and preeclampsia studies
6.17
article

A machine learning model based on placental magnetic resonance imaging and clinical factors to predict fetal growth restriction

Yu Zou, Jida Wang, Zhuying Chen, Meixiang Deng, Kui Li, Weikang Li, Hongxi Zhang
article en
3 citations

Abstract

No abstract available for this paper.
BMC Pregnancy and ChildbirthVol. 25(1)
Children's Hospital of Zhejiang University (CN), Women's Hospital, School of Medicine, Zhejiang University (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 5%
Pregnancy and preeclampsia studies
6.17
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