A SAM-based 3D tumor segmentation framework combining TotalSegmentator organ masks, CLIP text guidance, and multi-stage adapters outperforms several medical segmentation baselines on three CT datasets.
Transunet: Rethinking the u-net architec- ture design for medical image segmentation through the lens of transformers
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TAGS: 3D Tumor-Adaptive Guidance for SAM
A SAM-based 3D tumor segmentation framework combining TotalSegmentator organ masks, CLIP text guidance, and multi-stage adapters outperforms several medical segmentation baselines on three CT datasets.