Learning Geometric Information Propagation for Semi-supervised 3D Medical Image Segmentation.
A novel semi-supervised medical image segmentation method incorporating global geometry attention and information propagation (GGIP) that achieves the state-of-the-art (SOTA) performance on a series of datasets, including the NIH pancreas, left atrium, and brain tumor datasets.