TransMedSeg applies ISDA-style feature augmentation with teacher-student class statistics to semi-supervised medical segmentation, reporting marginal SOTA improvements on ACDC, LA, and Pancreas-NIH.
Shape-aware semi-supervised 3d semantic seg- mentation for medical images
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
baseline 1
citation-polarity summary
fields
eess.IV 1years
2025 1verdicts
CONDITIONAL 1roles
baseline 1polarities
baseline 1representative citing papers
citing papers explorer
-
TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation
TransMedSeg applies ISDA-style feature augmentation with teacher-student class statistics to semi-supervised medical segmentation, reporting marginal SOTA improvements on ACDC, LA, and Pancreas-NIH.