A weighted bag of visual words model for predicting fetal growth restriction at an early stage
To enable early prediction of FGR, we propose a visual bag-of-words model based on weight scaling for analyzing placental ultrasound images in the early stages-before significant fetal impairment occurs. The proposed model shows strong potential to assist doctors in making preliminary assessments, thereby facilitating earlier intervention. This can help reduce the risk of harm to both fetuses and pregnant women.
Authors
- Yiheng Zhang
- Mengjie Chen (ORCID: https://orcid.org/0000-0002-0554-2445)
- Ani Dong
- Weiling Li
Institutions
- Sun Yat-sen University (CN)
- Dongguan University of Technology (CN)
- City College of Dongguan University of Technology (CN)
- Eighth Affiliated Hospital of Sun Yat-sen University
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-06-17
- DOI
- https://doi.org/10.3389/fmed.2025.1529666
- Primary Topic
- Pregnancy and preeclampsia studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Department of Education of Guangdong Province