Open access
2026
A Comparative Analysis of Transformer-Based Architectures for 2D Echocardiographic Segmentation
Accurate segmentation of cardiac structures in 2D echocardiography is a crucial step for the computation of clinically relevant indices, such as ventricular volumes and ejection fraction (EF). While convolutional neural networks, and in particular UNet-based architectures, have long represented the state of the art for...
Edoardo Bosco, E. Spairani, Francesco Podda et al.
· IEEE Access · 0 citations