Enhancing Surgical Instrument Segmentation with Memory: SAM3 for Occlusion Robustness
Published:Dec 18, 2025 18:49
•1 min read
•ArXiv
Analysis
This research explores improvements to surgical instrument segmentation using a memory-enhanced model. The focus on occlusion robustness is particularly important in the context of real-world surgical applications.
Key Takeaways
- •Proposes a memory-enhanced model (SAM3) for surgical instrument segmentation.
- •Addresses the challenge of occlusion in surgical image analysis.
- •Potentially improves the accuracy and reliability of automated surgical assistance.
Reference
“The paper focuses on enhancing segmentation robustness in surgical contexts.”