UST-RUN improves mixed-domain semi-supervised medical image segmentation by generating diverse intermediate samples from reliable unlabeled data and refining training for unreliable samples.
Inf-net: Automatic covid-19 lung infection segmentation from ct images,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
other 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
other 1polarities
unclear 1representative citing papers
citing papers explorer
-
Unleashing the Power of Intermediate Domains for Mixed Domain Semi-Supervised Medical Image Segmentation
UST-RUN improves mixed-domain semi-supervised medical image segmentation by generating diverse intermediate samples from reliable unlabeled data and refining training for unreliable samples.