A generative transformer framework predicts future surgical phases minute-by-minute over 20 to 30 minute horizons, reaching 41.3% F1 on AutoLaparo21 and competitive remaining-time errors on Cholec80.
In: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2017, pp
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SWAG: Long-term Surgical Workflow Prediction with Generative-based Anticipation
A generative transformer framework predicts future surgical phases minute-by-minute over 20 to 30 minute horizons, reaching 41.3% F1 on AutoLaparo21 and competitive remaining-time errors on Cholec80.