Development of an Integrated Deep Learning Approach for Detecting Fetal Brain Abnormalities at Routine Second Trimester US Scan: A Multicenter Study

An anatomy-aware, two-stage, end-to-end deep learning pipeline was developed for classifying second-trimester fetal brain US images as normal or abnormal and achieved strong diagnostic performance, sensitivity, and specificity.