  In this study, we combine a standardized acquisition protocol with image
analysis algorithms to investigate if it is possible to automatically detect
maternal risk factors without a trained sonographer. The standardized
acquisition protocol can be taught to any health care worker within two hours.
This protocol was acquired from 280 pregnant women at St.\ Luke's Catholic
Hospital, Wolisso, Ethiopia. A VGG-like network was used to perform a frame
classification for each frame within the acquired ultrasound data. This frame
classification was used to automatically determine the number of fetuses and
the fetal presentation. A U-net was trained to measure the fetal head
circumference in all frames in which the VGG-like network detected a fetal
head. This head circumference was used to estimate the gestational age. The
results show that it possible automatically determine gestational age and
determine fetal presentation and the potential to detect twin pregnancies using
the standardized acquisition protocol.
