FetalNet: Multi-task Deep Learning Framework for Fetal Ultrasound Biometric Measurements. (arXiv:2107.06943v3 [eess.IV] UPDATED)

In this paper, we propose an end-to-end multi-task neural network called
FetalNet with an attention mechanism and stacked module for spatio-temporal
fetal ultrasound scan video analysis. Fetal biometric measurement is a standard
examination during pregnancy used for the fetus growth monitoring and
estimation of gestational age and fetal weight. The main goal in fetal
ultrasound scan video analysis is to find proper standard planes to measure the
fetal head, abdomen and femur. Due to natural high speckle noise and shadows …

arxiv biometric deep learning deep learning framework framework learning