ATSO: Asynchronous Teacher-Student Optimizationfor Semi-Supervised Medical Image Segmentation

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Abstract:

In medical image analysis, semi-supervised learning is an effective method to extract knowledge from a small amount of labeled data and a large amount of unlabeled data. This paper focuses on a popular pipeline known as self learning, and points out a weakness namedlazy learningthat refers to the difficulty for a model to learn from the...More

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