FM-HCT is a foundation model for head CT trained using self-supervised learning on a large dataset of non-contrast 3D head CT scans. The model outperforms existing approaches, especially on scarce annotated datasets, and offers strong generalization.
- Weicheng Zhu
- Haoxu Huang
- Narges Razavian