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Cloud-based large-scale pathological image collaborative annotation method and system

机译:基于云的大规模病理图像协同标注方法及系统

摘要

An image preprocessing module is provided by the present invention to pre-process pathological images through superpixel segmentation in the cloud infrastructure, and meanwhile stores the boundary thereof by using the binary image; and performing multi-user data recording by the data recording module, so that the user can collaborate on image annotation; through the front-end interaction module, the capturing action of the user and displaying the pathological image; through the back-end processing module, the responding to the request sent by the front-end interaction module and completing the annotation of the data and the suggesting possible annotation sub-regions to the users. Through the effects achieved by the above modules, the present invention accomplishes the purpose of multi-user collaborative and convenient pixel-level annotation on pathological images via a webpage.
机译:本发明提供了一种图像预处理模块,用于在云基础设施中通过超像素分割对病理图像进行预处理,同时使用二值图像存储其边界;数据记录模块进行多用户数据记录,以便用户在图像标注上进行协作;通过前端交互模块,捕获用户动作并显示病理图像。通过后端处理模块,响应前端交互模块发送的请求,完成对数据的注释以及向用户建议可能的注释子区域。通过上述模块达到的效果,本发明实现了通过网页对病理图像进行多用户协作,方便的像素级注释的目的。

著录项

  • 公开/公告号US2020226174A1

    专利类型

  • 公开/公告日2020-07-16

    原文格式PDF

  • 申请/专利权人 XIAN JIAOTONG UNIVERSITY;

    申请/专利号US202016831796

  • 发明设计人 CHEN LI;PARGORN PUTTAPIRAT;HAICHUAN ZHANG;

    申请日2020-03-26

  • 分类号G06F16/58;G06F16/51;G06T7/11;G06T7/38;

  • 国家 US

  • 入库时间 2022-08-21 11:25:26

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