A framework using Temporal Error-Cascade loss, Evidence-Gated Transition Predictor, and Temporal Fragmentation Index reduces temporal fragmentation in online surgical phase recognition on Cholec80 and AutoLaparo datasets.
Inter- national Journal of Computer Assisted Radiology and Surgery11(6), 1081–1089 (2016)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Stabilizing Temporal Inference Dynamics for Online Surgical Phase Recognition
A framework using Temporal Error-Cascade loss, Evidence-Gated Transition Predictor, and Temporal Fragmentation Index reduces temporal fragmentation in online surgical phase recognition on Cholec80 and AutoLaparo datasets.