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.
Semi-supervised medical image segmentation through dual-task consistency
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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.