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Optimizing Screening for Intrauterine Fetal Growth Restriction in Low-Resource Settings Using 2D Ultrasound: A Deep Learning Approach

2026-05-05

Abstract excerpt

Severe fetal growth restriction (sFGR) affects 5 to 10% of pregnancies worldwide and is a major contributor to perinatal morbidity and mortality, particularly in low- and middle-income countries (LMICs). Traditional 2D ultrasound detection methods suffer from operator dependency, gestational age uncertainty, and limited access to Doppler in many low-resource facilities. This study presents a deep learning framewor...

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Literature Corpus work
8aaf85e4-d5e9-513d-83c4-e4dd2046ebc3
DOI
10.64898/2026.05.04.26352354
Open publication

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Optimizing Screening for Intrauterine Fetal Growth Restriction in Low-Resource Settings Using 2D Ultrasound: A Deep Learning ApproachDOI 10.64898/2026.05.04.26352354
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