Abstract: The problem solved in the article is reduction of computational costs for the image classification process when applying structural methods. The main focus is implementing tools for ...
Abstract: Semi-supervised learning (SSL) has emerged as a promising paradigm for medical image segmentation, aiming to alleviate the scarcity of high-quality annotations by combining limited labeled ...
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