A Machine Learning Framework for Fully Automatic 3D Fetal Cardiac Ultrasound Evaluation
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)(2022)
Abstract
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...
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Key words
Ultrasonic imaging,Three-dimensional displays,Pipelines,Measurement uncertainty,Manuals,Transformers,Convolutional neural networks
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