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: Deep learning-based techniques have been widely used for brain tumor segmentation in magnetic resonance imaging (MRI) images; however, they are still insufficient for processing small ...
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