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U-R-VEDA: Integrating UNET, Residual Links, Edge and Dual Attention, and Vision Transformer for Accurate Semantic Segmentation of CMRs

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Mukisa, Racheal, Bansal, Arvind K.
Formato:	Preprint
Publicado:	2025
Materias:	Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning I.4.6; I.2; I.5.2; I.5.1
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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