SemiGDA: Generative Dual-distribution Alignment for Semi-Supervised Medical Image Segmentation
arXiv:2604.23274v1 Announce Type: new
Abstract: Semi-supervised learning addresses label scarcity and high annotation costs in medical image segmentation by exploiting the latent information in unlabeled data to enhance model performance. Traditional …