A ViT-LSTM spatiotemporal model detects surgical instrument handovers and classifies direction in videos, achieving F1 of 0.84 for detection and 0.72 mean F1 for direction on kidney transplant data.
OperA: Attention-Regularized Transformers for Surgical Phase Recognition, page 604–614
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Event-Level Detection of Surgical Instrument Handovers in Videos with Interpretable Vision Models
A ViT-LSTM spatiotemporal model detects surgical instrument handovers and classifies direction in videos, achieving F1 of 0.84 for detection and 0.72 mean F1 for direction on kidney transplant data.