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Ultrasound Plane Pose Regression: Assessing Generalized Pose Coordinates in the Fetal Brain
In obstetric ultrasound (US) scanning, the learner's ability to mentally build a three-dimensional (3D) map of the fetus from a two-dimensional (2D) US image represents a significant challenge in skill acquisition.
BiometryNet: Landmark-based Fetal Biometry Estimation from Standard Ultrasound Planes
Comparison and cross-validation of three different biometric measurements on two independent datasets shows that BiometryNet is robust and yields accurate measurements whose errors are lower than the clinically permissible errors, outperforming other existing automated biometry estimation methods.
AutoFB: Automating Fetal Biometry Estimation from Standard Ultrasound Planes
To achieve a reproducible and accurate measurement, a sonographer needs to identify three standard 2D planes of the fetal anatomy (head, abdomen, femur) and manually mark the key anatomical landmarks on the image for accurate biometry and fetal weight estimation.
