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Database construction for small lung nodule using high-resolution three-dimension CT image

机译:利用高分辨率三维CT图像构建小肺结节的数据库

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We have been advancing the study of method to quantitatively systematize nodules by conducting the statistical comparison survey of relation between image features and clinical pathological features, reason of postoperative recurrence and death. But necessary research data is huge, and because of this problem, the management and use of image information such as diagnostic information, image features is difficult. Nodule systematization using database is being proposed as the solution. We think that more efficient nodule schematization can be realized by managing, searching and comparing image information efficiently using database. In this paper, we describe nodule systematization using database and describe the construction of database as the core, and user interface which can be easily operated on GUI. We also describe operational result and evaluation, making it as the prototype.
机译:通过对图像特征与临床病理特征,术后复发原因和死亡之间的关系进行统计比较调查,我们一直在推进对结节进行定量系统化的方法的研究。但是必要的研究数据巨大,并且由于这个问题,难以对图像信息(例如诊断信息,图像特征)进行管理和使用。解决方案是使用数据库进行结节系统化。我们认为,可以通过使用数据库有效地管理,搜索和比较图像信息来实现更有效的结节模式化。在本文中,我们描述了使用数据库的结节系统化,并以数据库的构建为核心,并描述了可以在GUI上轻松操作的用户界面。我们还将描述运营结果和评估,使其成为原型。

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