Cholec80
PulseAugur coverage of Cholec80 — every cluster mentioning Cholec80 across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New framework uses label-semantic self-distillation for surgical phase recognition
Researchers have developed LaSeD, a novel framework for visual-only surgical phase recognition that leverages label-semantic self-distillation. This method uses phase names as privileged training context, enabling the m…
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New TTDF Framework Enhances Surgical Phase Transition Detection Reliability
Researchers have developed a new framework called TTDF (Two-Stage Transition Detection Framework) to improve the reliability of detecting phase transitions in surgical procedures. This framework operates on the outputs …
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New method uses SAM 3 for surgical landmark localization
Researchers have developed a new method for localizing functional landmarks in surgical videos by leveraging the Segment Anything Model 3 (SAM 3). This approach uses SAM 3's structural prior to provide dense instrument-…
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AI system efficiently analyzes surgical videos by tracking tool motion
Researchers have developed an extended version of the Kinematics-Adaptive Frame Recognition (KAFR) system to efficiently analyze laparoscopic surgical videos. This new paradigm uses a fine-tuned YOLO model to detect sur…
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New HTT-Net model enhances surgical video phase recognition
Researchers have developed HTT-Net, a novel Hierarchical Text-guided Transition modeling Network designed for surgical video phase recognition. This model aims to improve workflow understanding and quality assessment by…
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SurgicalMamba model advances online surgical phase recognition
Researchers have developed SurgicalMamba, a novel model designed for online surgical phase recognition. This model addresses challenges in surgical video analysis, such as long procedure durations and non-uniform time f…