Dual-Branch AI Network Sharpens Abdominal CT Segmentation While Slashing Compute
A new dual-branch U-Net called PDSA-DBUNet combines dynamic sparse attention with a polynomial mixer to achieve record abdominal CT segmentation ...
A new dual-branch U-Net called PDSA-DBUNet combines dynamic sparse attention with a polynomial mixer to achieve record abdominal CT segmentation ...
A deep learning model trained on thousands of abdominal CT scans can automatically detect mistimed contrast phases and shows that ...
A new semi-supervised AI framework called URDT-Net combines dual-teacher learning, topology-aware training, and an early-exit mechanism to segment abdominal organs ...
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© 2025 Scienmag - Science Magazine