Automated atlas-based multi-label fetal cardiac vesselsegmentation in Congenital Heart Disease
P. M. Ramirez, A. Uus, M. P. M. van Poppel, I. Grigorescu, J. K. Steinweg, D. F. A. Lloyd, K. Pushparajah, A. P. King, M. Deprez
The paper proposes an automated deep learning framework for multi-label fetal cardiac vessel segmentation in MRI, achieving high accuracy and outperforming label propagation methods.
bioRxiv · Jan 14, 2022 · PreprintBioengineering