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  CT-FM is a large-scale 3D image-based pre-trained model designed for diverse radiological tasks. The model was pre-trained on 148,000 CT scans from the Imaging Data Commons using label-agnostic contrastive learning.
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  ## Model Details
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  The model demonstrates strong capabilities across multiple tasks:
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- - Whole-body
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- - Heterogenous umor segmentation
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  - Head CT triage
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  - Medical image retrieval
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  - Semantic understanding of anatomical structures
 
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  CT-FM is a large-scale 3D image-based pre-trained model designed for diverse radiological tasks. The model was pre-trained on 148,000 CT scans from the Imaging Data Commons using label-agnostic contrastive learning.
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  ## Model Details
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  The model demonstrates strong capabilities across multiple tasks:
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+ - Whole-body multi-structure segmentation
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+ - Heterogenous tumor segmentation across 4 anatomical sites
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  - Head CT triage
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  - Medical image retrieval
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  - Semantic understanding of anatomical structures