Description

Jolia is a vision-language foundation model for 3D CT scans that utilizes a concept-query architecture to produce 102 distinct organ-level embeddings without requiring segmentation masks. This approach allows for granular similarity search and interpretability, demonstrating how anatomical regions in chest and abdominal scans can be independently visualized and analyzed.

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