Few-shot image classification aims to classify unseen classes with limited labelled samples. Recent works benefit from the meta-learning process with episodic tasks and can fast adapt to class from ...

Semi-supervised medical image segmentation still faces challenges although it is able to obtain better segmentation results using a small amount of labeled data and a large amount of unlabeled data.

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