Multi-scheme cross-level attention embedded U-shape transformer for MRI semantic segmentation

Abstract Accurate MRI image segmentation is crucial for disease diagnosis, but current Transformer-based methods face two key challenges: limited capability to capture detailed information, leading to blurred boundaries and false localization, and the lack of MRI-specific embedding paradigms for att...

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Auteurs principaux:	Qiang Wang, Yongchong Xue
Format:	Artigo
Langue:	Inglês
Publié:	Nature Portfolio 2025-07-01
Collection:	Scientific Reports
Sujets:	MRI Semantic Segmentation U-Shape Transformer Multi-Scheme Attention Mechanism Cross-Level Attention Strategy
Accès en ligne:	https://doi.org/10.1038/s41598-025-06966-y
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