Abstract: The development of deep learning based image representation learning (IRL) methods has attracted great attention for various image understanding problems. Most of these methods require the ...

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This was asked in #2403, but there have been no responses. For exploring a new dataset where the actual labels are unknown from the start, human annotators should be able to add new labels during the ...

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 ...