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相关概念视频

Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

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Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
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MiroSCOPE:一个人工智能驱动的数字病理学平台,用于注释功能组织单元.

Madeleine R Fenner1, Selim Sevim2, Guanming Wu3

  • 1Department of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR, USA.

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此摘要是机器生成的。

MiroSCOPE是一个人工智能辅助的平台,可以加速在数字病理学中对功能组织单元 (FTU) 的注释. 这种工具可以有效分析癌症组织结构,这对于准确的病理评估至关重要.

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科学领域:

  • 数字病理学数字病理学
  • 计算病理学计算病理学
  • 人工智能在医学中的应用

背景情况:

  • 当前的数字病理学分析经常忽略功能组织单位 (FTU),这对于组织功能和癌症评估至关重要.
  • 手动注释FTU是耗时且昂贵的,阻碍了大规模研究.
  • 现有的人工智能 (AI) 解决方案缺乏全面的工作流程,以构建用于FTU分析的注释队列.

研究的目的:

  • 开发一个端到端的人工智能辅助平台,MiroSCOPE,用于数字病理学中的FTU的可扩展注释.
  • 克服手动注释的局限性,加快开发可解释的AI方法用于FTU分析.
  • 为癌症研究中FTU级机器学习提供高质量的,公开可用的数据集.

主要方法:

  • 开发了MiroSCOPE,这是一个基于QuPath构建的AI辅助平台,用于注释FTU.
  • 集成了一个可微调的多类细分模型,并为循环中的人类系统提供了策划特定的可用性特征.
  • 应用了MiroSCOPE,在184个前列腺癌血素和素 (H&E) 染色的组织样本中注释了超过71,900个FTU.

主要成果:

  • MiroSCOPE显著加速了病理学家对FTU的AI驱动注释.
  • 在184个前列腺癌样本上成功注释了71,900多个FTU,证明了乳腺癌应用的可扩展性和潜力.
  • 公开发布了Miro-120数据集 (120个前列腺癌H&E样本与30568个注释) 以供社区使用.

结论:

  • MiroSCOPE提供了一个可适应的人工智能驱动的平台,用于在数字病理学中高效的FTU注释.
  • 便于将关键的结构信息纳入数字病理学分析中.
  • 米罗-120数据集是促进癌症研究中FTU级机器学习的宝贵资源.