SegMix adaptively shuffles image patches and uses learning feedback to generate superior pseudo-semantic segmentation masks from image-level labels, outperforming prior methods on three pathology datasets.
Act: Semi-supervised domain-adaptive medical image segmentation with asymmetric co-training
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SegMix:Shuffle-based Feedback Learning for Semantic Segmentation of Pathology Images
SegMix adaptively shuffles image patches and uses learning feedback to generate superior pseudo-semantic segmentation masks from image-level labels, outperforming prior methods on three pathology datasets.