Fetal Ultrasound

Fetal ultrasound is a crucial medical imaging technique used to assess fetal development and diagnose potential abnormalities during pregnancy. Current research heavily emphasizes automating various aspects of ultrasound analysis, including biometric measurements (e.g., head circumference, femur length), standard plane detection (e.g., fetal head, brain), and image quality assessment, often employing deep learning models like U-Net and convolutional neural networks. These advancements aim to improve the accuracy, efficiency, and accessibility of fetal ultrasound, particularly in resource-limited settings, by reducing reliance on expert sonographers and enabling faster, more consistent diagnoses.

Papers