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Found 2 papers, 2 papers with code
MuST: Multi-Scale Transformers for Surgical Phase Recognition
Phase recognition in surgical videos is crucial for enhancing computer-aided surgical systems as it enables automated understanding of sequential procedural stages.
Ranked #1 on
Surgical phase recognition
on GraSP
Pixel-Wise Recognition for Holistic Surgical Scene Understanding
To exploit our proposed benchmark, we introduce the Transformers for Actions, Phases, Steps, and Instrument Segmentation (TAPIS) model, a general architecture that combines a global video feature extractor with localized region proposals from an instrument segmentation model to tackle the multi-granularity of our benchmark.
Ranked #2 on
Surgical phase recognition
on MISAW
