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.
Ma-sam: Modality-agnostic sam adap- tation for 3d medical image segmentation
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
other 1
citation-polarity summary
fields
eess.IV 1years
2025 1verdicts
CONDITIONAL 1roles
other 1polarities
unclear 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.