U-Transformer: Self and Cross Attention for Medical Image Segmentation

doi:doi:10.57702/tvx6n55z

U-Transformer: Self and Cross Attention for Medical Image Segmentation

Medical image segmentation remains particularly challenging for complex and low-contrast anatomical structures. In this paper, we introduce the U-Transformer network, which combines a U-shaped architecture for image segmentation with self- and cross-attention from Transformers.

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Olivier Petit, Nicolas Thome, Clement Rambour, Luc Soler (2024). Dataset: U-Transformer: Self and Cross Attention for Medical Image Segmentation. https://doi.org/10.57702/tvx6n55z

DOI retrieved: December 2, 2024

Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Author	Olivier Petit
More Authors	Nicolas Thome Clement Rambour Luc Soler