A Machine Learning Framework for Fully Automatic 3D Fetal Cardiac Ultrasound Evaluation

Fetal cardiac ultrasound (US) is an understudied but important area of medical image analysis. In this work, we identify sources of error and obstacles that may render artificial intelligence (AI) models ineffective in this particular setting. We then present an efficient AI segmentation pipeline for the fetal heart using raw 3D-US volume data with no prior processing. We applied our work on a dat...