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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Bibliographic Details
Main Authors:	Mukisa, Racheal, Bansal, Arvind K.
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning I.4.6; I.2; I.5.2; I.5.1
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2506.20689