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April 16, 2026Scientific ReportsOpen Access

A multicentre benchmark dataset for comprehensive landmark-based fetal ultrasound biometry

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Authors

CVChiara Di VeceZMZhehua MaoNANetanell Avisdris

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Overview

Benchmark dataset provides expert-annotated fetal ultrasound images, aiding AI-assisted growth assessments in diverse settings.

Key Points

  • Develop an open-access dataset to enable AI-assisted assessment of fetal growth through precise biometric measurements.
  • Compiled a dataset of 4,513 de-identified ultrasound images from 1,904 subjects across four clinical sites.
  • Annotated anatomical landmarks critical for fetal biometric measurements in standard planes.
  • Provided code and evaluation metrics for reproducibility and comparison across different methods.
  • Dataset includes various biometric measurements like head diameters, abdominal dimensions, and femoral length.
  • Training on single-site data leads to performance overestimation compared to multicentre evaluation.
  • First publicly available multi-device, landmark-annotated dataset for fetal biometry, aiding generalization studies.

Cite This Study

Vece et al. (2026) studied this question.

synapsesocial.com/papers/69e07dc72f7e8953b7cbeb57https://doi.org/10.1038/s41598-026-47854-3
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  5. 5Computer-Aided Detection of Biparietal Diameter and Femur Length Measurements from Prenatal Ultrasound Images2024