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A tool for collection of region based data from uterine cervix images for correlation of visual and clinical variables related to cervical neoplasia

机译:一种基于子宫子宫颈图像的区域数据的工具,用于与宫颈瘤形成相关的视觉和临床变量的相关性

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The National Cancer Institute (NCI) is collaborating with the National Library of Medicine (NLM) to create a database of digitized images of the uterine cervix for research, training, and education. The database of 100,000 images collected in NCI projects will be Web-accessible and will contain not only the digitized images, but also clinical, longitudinal data relevant to the detection of uterine cervix cancer. The database will also contain spatial data in the form of expert-marked boundary regions of anatomy and tissue regions of high interest. The collection of this spatial data is enabled by customized software, the Boundary Marking Tool (BMT). The BMT, its significance, and its use in preliminary research studies, are described in this paper.
机译:国家癌症研究所(NCI)与国家医学图书馆(NLM)合作,为研究,培训和教育创建了子宫子宫颈的数字化图像数据库。在NCI项目中收集的100,000张图像数据库将是Web可访问的,不仅包含与数字化图像,而且包含与检测子宫子宫颈癌相关的临床纵向数据。数据库还将包含以专家标记的解剖结构和组织区域的专家标记的边界区域形式的空间数据。通过自定义软件,边界标记工具(BMT)启用该空间数据的集合。本文描述了BMT,其重要性及其在初步研究研究中的用途。

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