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Towards Robust Cardiac Segmentation using Graph Convolutional Networks

By Gilles Van De Vyver and others at
LogoNorwegian University of Science and Technology
and
LogoUniversity of Oslo
Fully automatic cardiac segmentation can be a fast and reproducible method to extract clinical measurements from an echocardiography examination. The U-Net architecture is the current state-of-the-art deep learning architecture for medical segmentation and can segment cardiac structures in real-time with average errors comparable to inter-observer variability. However, this architecture still... Show more
November 6, 2023
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