Deep Learning Fetal Ultrasound Video Model Match Human Observers in Biometric Measurements. (arXiv:2205.13835v1 [eess.IV])

Objective. This work investigates the use of deep convolutional neural
networks (CNN) to automatically perform measurements of fetal body parts,
including head circumference, biparietal diameter, abdominal circumference and
femur length, and to estimate gestational age and fetal weight using fetal
ultrasound videos. Approach. We developed a novel multi-task CNN-based
spatio-temporal fetal US feature extraction and standard plane detection
algorithm (called FUVAI) and evaluated the method on 50 freehand fetal US video
scans. We compared FUVAI fetal biometric measurements with measurements …

arxiv biometric deep learning human learning video