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.
The liver tumor segmentation benchmark (lits)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
dataset 1
citation-polarity summary
fields
eess.IV 1years
2025 1verdicts
CONDITIONAL 1roles
dataset 1polarities
use dataset 1representative citing papers
citing papers explorer
-
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.