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The SegVol is a universal and interactive model for volumetric medical image segmentation. SegVol accepts **point, box, and text prompts** while output volumetric segmentation. By training on 90k unlabeled Computed Tomography (CT) volumes and 6k labeled CTs, this foundation model supports the segmentation of over 200 anatomical categories.
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**Keywords**: 3D medical SAM, volumetric image segmentation
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## Quicktart
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The SegVol is a universal and interactive model for volumetric medical image segmentation. SegVol accepts **point, box, and text prompts** while output volumetric segmentation. By training on 90k unlabeled Computed Tomography (CT) volumes and 6k labeled CTs, this foundation model supports the segmentation of over 200 anatomical categories.
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[Paper](https://arxiv.org/abs/2311.13385) and [Code](https://github.com/BAAI-DCAI/SegVol) have been released.
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**Keywords**: 3D medical SAM, volumetric image segmentation
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## Quicktart
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