A U-Net variant combining dense blocks, dual channel and spatial attention, edge-based skip connections, and deep supervision reports 98% Dice on left ventricle segmentation in ACDC cardiac MRI.
F., Qin, J., et el.: Dual Attention Enhancement Feature Fusion Network for Segmentation and Quantitative Analysis of Pediatric Echocardiography
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DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images
A U-Net variant combining dense blocks, dual channel and spatial attention, edge-based skip connections, and deep supervision reports 98% Dice on left ventricle segmentation in ACDC cardiac MRI.