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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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Cite this as

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

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