Adding depth-derived geometric priors to a RepVGG backbone improves surgical phase classification on a new nine-phase ESD dataset.
Multi-task temporal convo- lutional networks for joint recognition of surgical phases and steps in gastric bypass procedures,
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Geo-RepNet: Geometry-Aware Representation Learning for Surgical Phase Recognition in Endoscopic Submucosal Dissection
Adding depth-derived geometric priors to a RepVGG backbone improves surgical phase classification on a new nine-phase ESD dataset.