Conference
Aug 2026
Transferring SAM-pretrained 2D ViTs for semi-supervised 3D medical image segmentation
Experimental results show that the approach outperforms the state-of-the-art on the Pancreas-CT dataset by a large margin and enables rapid transfer learning from 2D-pretrained models to 3D medical tasks with few labeled data, making it especially valuable for rare disease diagnosis.
Ruize Shi, Xiao-Yan Li, Bo-Yue Wang et al.
· International Conference on... · 0 citations