A hybrid U-Net with transformer bottleneck and attention modules reports Dice 0.764 on a local MRI dataset, but the evaluation appears to use training data rather than a held-out test set.
U-net: Convolutional networks for biomedical image segmentation
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Automated MRI Tumor Segmentation using hybrid U-Net with Transformer and Efficient Attention
A hybrid U-Net with transformer bottleneck and attention modules reports Dice 0.764 on a local MRI dataset, but the evaluation appears to use training data rather than a held-out test set.