Abstract: Semi-supervised learning has proven highly effective in tackling the challenge of limited labeled training data in medical image segmentation. In general, current approaches, which rely on ...
Abstract: In medical image segmentation, capturing long-range dependencies is critical for precise segmentation. Convolutional Neural Networks(CNNs)excel at local features, while Transformers ...
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