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.
Weakly supervised brain lesion segmentation via attentional representation learn- ing,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
REJECT 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
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.