An annotation method using two nested polygons plus a confidence-guided consistency learner achieves state-of-the-art weakly-supervised segmentation on two medical datasets and slightly beats fully supervised baselines.
Deepcut: Object segmentation from bounding box annotations using convolutional neural networks,
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EAUWSeg: Eliminating annotation uncertainty in weakly-supervised medical image segmentation
An annotation method using two nested polygons plus a confidence-guided consistency learner achieves state-of-the-art weakly-supervised segmentation on two medical datasets and slightly beats fully supervised baselines.