Abstract: Semi-supervised learning (SSL) has been proven beneficial for mitigating the issue of limited labeled data, especially on volumetric medical image segmentation. Unlike previous SSL methods ...
Abstract: Unlike traditional computing, soft computing solves difficult real-world problems and works with approximation models. Soft computing is more forgiving of approximations, ambiguity, partial ...
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