An Implicit-Explicit Prototypical Alignment Framework for Semi-Supervised Medical Image Segmentation
Abstract: Semi-supervised learning methods have been explored to mitigate the scarcity of pixel-level annotation in medical image segmentation tasks. Consistency learning, serving as a mainstream ...
Abstract: Information Extraction (IE) and Text Classification (CLS) serve as the fundamental pillars of NLU, with both disciplines relying on analyzing input sequences to categorize outputs into ...
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