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 with a transformer stage in the decoder for enhanced edge segmentation. The results of the experiments illustrate that RTA-Former achieves state-of-the-art (SOTA) performance in five polyp segmentation datasets. The strong capability of RTA-Former holds promise in improving the accuracy of Transformer-based polyp segmentation%2C potentially leading to better clinical decisions and patient outcomes. Our code is publicly available on GitHub.?quality=80&w=800)
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