2026
A DYL-UNET FRAMEWORK BASED ON DYNAMIC LEARNING FOR TEMPORALLY CONSISTENT ECHOCARDIOGRAPHIC SEGMENTATION
ICASSP 2026poster
Accurate segmentation of cardiac anatomy in echocardiography is essential for cardiovascular diagnosis and treatment. Yet echocardiography is prone to deformation and speckle noise, causing frame-to-frame segmentation jitter. Even with high accuracy in single-frame segmentation, temporal instability…