Dual Structure-Aware Image Filterings for Semi-supervised Medical Image Segmentation

arXiv:2312.07264v2 Announce Type: replace
Abstract: Semi-supervised image segmentation has attracted great attention recently. The key is how to leverage unlabeled images in the training process. Most methods maintain consistent predictions of the unlabeled images under variations (e.g., adding noise/perturbations, or creating alternative versions) in the image and/or model level. In most image-level variation, medical images often have prior structure information, which has not been well explored. In this paper, we propose novel dual structure-aware image filterings (DSAIF) as the image-level …

abstract arxiv attention consistent cs.cv image images key medical noise predictions process segmentation semi-supervised the key training type versions