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班夫数字病理学工作组:图像银行,人工智能算法和挑战试验发展

Alton B Farris1, Mariam P Alexander2, Ulysses G J Balis3

  • 1Department of Pathology and Laboratory Medicine, Emory University, Atlanta, GE, United States.

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概括

班夫数字病理学工作组 (DPWG) 建立了一个数字病理学存储库和用于移植病理学的AI模型. 这个倡议旨在促进协作,并为班夫社区推进诊断工具.

关键词:
班夫班夫班夫班夫班夫班夫班夫人工智能的人工智能是人工智能.数字病理学数字病理学图像分析图像分析机器学习是机器学习.

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科学领域:

  • 移植病理学 移植病理学
  • 数字病理学数字病理学
  • 人工智能的人工智能

背景情况:

  • 班夫数字病理学工作组 (DPWG) 成立的目的是创建数字病理学存储库,开发人工智能驱动的图像分析模型,并促进协作研究.
  • 在DPWG内部的讨论中,强调了各种基于人工智能的移植病理支持系统.

研究的目的:

  • 为移植病理学研究建立一个数字病理学存储库.
  • 开发,验证和共享用于移植中的图像分析的AI模型.
  • 促进合作,并确定数字病理学倡议的资源.

主要方法:

  • 在DPWG成员中进行了一项调查,以评估建立数字病理学存储库的可行性并确定潜在的托管站点.
  • 现有的数字病理学存储库和AI模型被利用来建立新的资源.

主要成果:

  • 35名受访者中有16人 (46%) 表示可以访问数字病理学存储库,其中2人提供免费托管.
  • 这16个存储库共有12870个脏样本,形成了最大的器官组.
  • 为DPWG建立了一个试点数字病理学存储库.

结论:

  • 班夫DPWG已经成功启动了一个试点数字病理学存储库.
  • 计划正在进行中,包括DIAGGRAFT项目在内的,专注于人工智能在移植病理学的竞赛/试验.
  • 通过利用现有的基础设施和专业知识,DPWG正在为移植病理学社区创造有价值的新资源.