Conclusion
In this paper, we developed deep learning algorithms that automatically
picked out brain images from all stored freeze-frame images, recognized
TV and TT planes and extract the brain regions, and predicted the fetal
lateral ventricular width with high precision. It could potentially be
applied as assistive tool in prenatal sonographic diagnosis to help
reduce the number of false negatives, making possible for automated US
diagnosis and/or assessment.