1. Method to create generic cell detector that detects the centers and contours of all cells in a WSI.2. Method to create algorithms to detect cells of specific categories and that can classify between various types of cells of different categories.3. Method for efficient cell annotation with online learning.4. Method for efficient cell annotation with active learning.5. Method for efficient cell annotation with online learning and data balancing.6. Method for auto annotation of cells7. Cell Detection Studio: a method to create an AI based system that provides pathologists with a semi-automatic tool to create new algorithms aiming to find cells of specific categories in WSI digitally scanned from histological specimen"/> Cell Detection Studio: a system for the development of Deep Learning Neural Networks Algorithms for cell detection and quantification from Whole Slide Images
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Cell Detection Studio: a system for the development of Deep Learning Neural Networks Algorithms for cell detection and quantification from Whole Slide Images

机译:单元格检测工作室:一种开发深度学习神经网络算法,用于整个幻灯片图像的细胞检测和量化

摘要

The invention is made out of methods for the development of Deep Neural Networks for cell detection and quantification in Whole Slide Images (WSI):1. Method to create generic cell detector that detects the centers and contours of all cells in a WSI.2. Method to create algorithms to detect cells of specific categories and that can classify between various types of cells of different categories.3. Method for efficient cell annotation with online learning.4. Method for efficient cell annotation with active learning.5. Method for efficient cell annotation with online learning and data balancing.6. Method for auto annotation of cells7. Cell Detection Studio: a method to create an AI based system that provides pathologists with a semi-automatic tool to create new algorithms aiming to find cells of specific categories in WSI digitally scanned from histological specimen
机译:本发明是在整个幻灯片图像(WSI)中的细胞检测和定量的深度神经网络开发的方法中的方法: 1。方法创建通用单元检测器的方法,该方法检测WSI中所有单元的中心和轮廓。 2。创建算法以检测特定类别的单元格的方法,可以在不同类别的各种类型的单元之间进行分类。 3。在线学习有效小区注释的方法。 4。具有主动学习的有效小区注释的方法。 5。具有在线学习和数据平衡的有效小区注释的方法。 6。用于自动注释单元的方法 7。单元格检测工作室:一种创建基于AI的系统,提供了具有半自动工具的病理学家,以创建一个用于从组织学标本

著录项

  • 公开/公告号US2021216745A1

    专利类型

  • 公开/公告日2021-07-15

    原文格式PDF

  • 申请/专利权人 DEEPATHOLOGY LTD.;

    申请/专利号US202016742942

  • 申请日2020-01-15

  • 分类号G06K9;G06K9/62;G06N3/08;G06N3/04;G16H50/20;

  • 国家 US

  • 入库时间 2022-08-24 19:56:43

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