A multi-centre, multi-device benchmark dataset for landmark-based comprehensive fetal biometry

Abstract excerpt

<title>Abstract</title> <p>Accurate fetal growth assessment from ultrasound (US) relies on precise biometry measured by manually identifying anatomical landmarks in standard planes. Manual landmarking is time-consuming, operator-dependent, and sensitive to variability across scanners and sites, limiting the reproducibility of automated approaches. There is a need for multi-source annotated datasets to develop art...

Topics

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• Congenital Heart Disease Studies
• Fetal and Pediatric Neurological Disorders
• Pregnancy and preeclampsia studies
• Preterm Birth and Chorioamnionitis

Identifiers and source

Literature Corpus work

e499c9a6-65fd-5826-b576-64dea48dee55

DOI

10.21203/rs.3.rs-8405225/v1