Scholarlink

<p>Progress in artificial intelligence has markedly improved computer-supported interventions, professional education for surgeons, and post-procedural analysis of operative recordings, considerably enhancing surgical proficiency and clinical outcomes. Phase recognition frameworks for endoscopic procedures utilizing deep learning methodologies depend critically on well-annotated comprehensive datasets. Our study introduces the Renji database containing endoscopic submucosal dissection (ESD) videos for esophageal lesions, comprising 25 procedural recordings with 141,909 phase-specific classifications jointly annotated by a specialized endoscopy team. To the best of our knowledge, this constitutes the inaugural publicly available collection of esophageal ESD videos with comprehensive phase annotations, and we believe this contribution will assist in establishing benchmarks for future esophageal ESD databases. The complete video repository and associated annotations have been made freely accessible to researchers through the Figshare repository</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Renji endoscopic submucosal dissection video data set for Esophagus

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年12月10日

查看全文
  • Jinnan Chen,
  • Xiangning Zhang,
  • Tang Cao,
  • Chunjiang Gu,
  • Jinneng Wang,
  • Zhao Li,
  • Yiming Song,
  • Liuyi Yang,
  • Zhengjie Zhang,
  • Qingwei Zhang,
  • Dahong Qian,
  • Xiaobo Li

摘要

Progress in artificial intelligence has markedly improved computer-supported interventions, professional education for surgeons, and post-procedural analysis of operative recordings, considerably enhancing surgical proficiency and clinical outcomes. Phase recognition frameworks for endoscopic procedures utilizing deep learning methodologies depend critically on well-annotated comprehensive datasets. Our study introduces the Renji database containing endoscopic submucosal dissection (ESD) videos for esophageal lesions, comprising 25 procedural recordings with 141,909 phase-specific classifications jointly annotated by a specialized endoscopy team. To the best of our knowledge, this constitutes the inaugural publicly available collection of esophageal ESD videos with comprehensive phase annotations, and we believe this contribution will assist in establishing benchmarks for future esophageal ESD databases. The complete video repository and associated annotations have been made freely accessible to researchers through the Figshare repository