RefSAM3D combines 3D adapters, text prompts, and hierarchical cross-attention to adapt SAM for 3D medical segmentation, claiming state-of-the-art Dice scores and CT-to-MRI zero-shot transfer.
Segment anything,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2024 1verdicts
REJECT 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
RefSAM3D: Adapting SAM with Cross-modal Reference for 3D Medical Image Segmentation
RefSAM3D combines 3D adapters, text prompts, and hierarchical cross-attention to adapt SAM for 3D medical segmentation, claiming state-of-the-art Dice scores and CT-to-MRI zero-shot transfer.