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Abstract Computed tomography (CT) is central to three-dimensional medical imaging, yet CT-based artificial intelligence remains fragmented across task-specific models for segmentation, classification, registration, and report analysis. Here we present FlexiCT, a family of CT foundation models trained by stage-wise pretraining on 266,227 CT volumes from 56 publicly available datasets, forming a large-scale public resource for CT representation learning.
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