Universal CT Representations from Anatomy to Disease Phenotype through Agglomerative Pretraining
arXiv cs.CV·Yuheng Li, Yuan Gao, Haoyu Dong, Yuxiang Lai, Shansong Wang, Mojtaba Safari, James E. Baciak, Xiaofeng Yang
15h agoQuick Take
FlexiCT is a CT foundation model that enhances representation learning across multiple medical imaging tasks.
Key Points
- Trained on 266,227 CT volumes from 56 datasets.
- Supports slice-level, volume-level, and vision-language analysis.
- Outperforms prior task-specific models in multiple benchmarks.
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