2 papers
cs.CV2023
3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching between 3D and 2D Networks
Heng Cai, Lei Qi, Qian Yu +2
Medical image segmentation typically necessitates a large and precisely annotated dataset. However, obtaining pixel-wise annotation is a labor-intensive task that requires signific…
cs.CV2023
Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation
Heng Cai, Shumeng Li, Lei Qi +3
Recent trends in semi-supervised learning have significantly boosted the performance of 3D semi-supervised medical image segmentation. Compared with 2D images, 3D medical volumes i…