FOCUS-Med reports state-of-the-art polyp segmentation scores by fusing graph, attention, and multi-scale fusion modules, but missing baseline details and an absent appendix undermine the claim.
Patch- based dual-domain photon-counting ct data correction with residual-based wgan-vit
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Large Language Model Evaluated Stand-alone Attention-Assisted Graph Neural Network with Spatial and Structural Information Interaction for Precise Endoscopic Image Segmentation
FOCUS-Med reports state-of-the-art polyp segmentation scores by fusing graph, attention, and multi-scale fusion modules, but missing baseline details and an absent appendix undermine the claim.