A transformer-based model with a temporal progress head reaches 72.91% accuracy on the new ACL27 arthroscopic phase dataset and 92.4% on Cholec80, establishing an early benchmark for arthroscopy.
Deep learning in surgical workflow analysis: A review of phase and step recognition
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
ArthroPhase: A Novel Dataset and Method for Phase Recognition in Arthroscopic Video
A transformer-based model with a temporal progress head reaches 72.91% accuracy on the new ACL27 arthroscopic phase dataset and 92.4% on Cholec80, establishing an early benchmark for arthroscopy.