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.