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June 4, 2026Scientific DataOpen Access

Multicenter fine annotated surgical video dataset for minimally invasive glaucoma surgery

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Authors

DWDeming WangYZYinhang ZhangLYLi Y

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Overview

Randomized trial develops a detailed surgical video dataset for glaucoma surgeries, suggesting enhanced training for surgical navigation systems.

Key Points

  • The aim is to create a comprehensive video dataset for minimally invasive glaucoma surgery to support surgical navigation systems.
  • Developed a large-scale surgical video dataset from multiple centers with fine annotations.
  • Included millions of frames annotated with surgical instruments and anatomical structures.
  • Organized annotations into two tasks: phase recognition and semantic segmentation.
  • Created the first multicenter annotated dataset for MIGS including extensive annotations.
  • Task I successfully identifies different stages of surgery; Task II focuses on detailed segmentation of instruments.
  • Dataset serves as a crucial resource for training computer vision models.

Cite This Study

Wang et al. (2026) studied this question.

synapsesocial.com/papers/6a211611d499ed480b16f243https://doi.org/10.1038/s41597-026-07535-2
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