AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Although accurate semi-supervised 3D medical image segmentation is vital for clinical diagnostics, existing approaches face two critical bottlenecks. On the one hand, most traditional networks struggle to simultaneously capture global contextual information and preserve fine-grained edge details in their architecture....
Results indicate that SEED-Net can effectively preserve fine structural details, reduce background interference, and produce accurate lesion boundaries, showing its potential for reliable MIS.
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