UnfoldCRF treats refinement as inference in a conditional random field over pixel labels and latent region variables, and zeroing individual messages shows where the corrections come from: the pairwise messages mostly fix boundaries, the region messages mostly fix non-boundary errors.
Chun-Ming He, Rihan Zhang, Lei Xu et al.· 0 citations
The Multi-View Refinement Network is presented, a framework that delivers clinically meaningful performance gains on the most challenging intracranial aneurysm cases and proposes a feature enhancement technique to obtain boundary-clear CTA, an informative supplement to the bone-free CTA, to further reduce the impact of...
Peiying Li, Yongchang Liu, Shi-Kui Tu et al.· 0 citations
FusedBFN formulates dual-target generation as distribution fusion in a unified continuous parameter space and employs a product-of-experts formulation to incorporate dual-target information throughout the generative process to address the scarcity of dual-target structural data.
Jingyuan Zhou, Shikui Tu, Lei Xu· 0 citations
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