A causal hierarchical attention transformer (adapted from ASFormer) outperforms four prior models on a new RAMIE phase-recognition dataset and on AutoLaparo, although the AutoLaparo baseline comparison is not clearly protocol-matched.
Robotic-assisted mini- mally invasive esophagectomy (ramie) for esophageal cancer training curriculum—a worldwide delphi con- sensus study
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Benchmarking and Enhancing Surgical Phase Recognition Models for Robotic-Assisted Esophagectomy
A causal hierarchical attention transformer (adapted from ASFormer) outperforms four prior models on a new RAMIE phase-recognition dataset and on AutoLaparo, although the AutoLaparo baseline comparison is not clearly protocol-matched.