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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.

**Keywords**: 3D medical SAM, volumetric image segmentation

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+ ---
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+ license: mit
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+ language:
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+ - en
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+ pipeline_tag: image-segmentation
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+ tags:
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+ - medical
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+ ---