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Found 4 papers, 3 papers with code
AdaptiveSAM: Towards Efficient Tuning of SAM for Surgical Scene Segmentation
However, SAM does not generalize well to the medical domain as is without utilizing a large amount of compute resources for fine-tuning and using task-specific prompts.
GLSFormer : Gated - Long, Short Sequence Transformer for Step Recognition in Surgical Videos
These results validate the suitability of our proposed approach for automated surgical step recognition.
Cross-Dataset Adaptation for Instrument Classification in Cataract Surgery Videos
In this paper, we highlight this domain shift in the commonly performed cataract surgery and propose a novel end-to-end Unsupervised Domain Adaptation (UDA) method called the Barlow Adaptor that addresses the problem of distribution shift without requiring any labels from another domain.
Video-based assessment of intraoperative surgical skill
The neural network approach using attention mechanisms also showed high sensitivity and specificity.
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