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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Detalles Bibliográficos

Autores principales:	Qiang Wang, Yongchong Xue
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Nature Portfolio 2025-07-01
Colección:	Scientific Reports
Materias:	MRI Semantic Segmentation U-Shape Transformer Multi-Scheme Attention Mechanism Cross-Level Attention Strategy
Acceso en línea:	https://doi.org/10.1038/s41598-025-06966-y
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