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Abstract: Semi-supervised medical image segmentation aims to leverage a limited set of labeled images alongside a substantial volume of unlabeled images to train semantic segmentation models. Existing ...

Abstract: Data efficiency, or the ability to generalize from a few labeled data, remains a major challenge in deep learning. Semi-supervised learning has thrived in traditional recognition tasks ...

If one decides that an image in the preview of the "preview image" node looks good, it would be nice to have a "save to output" context menu icon that copies it to the output folder. The current "save ...