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New NCI initiatives in computer-aided diagnosis

机译:NCI在计算机辅助诊断中的新举措

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Abstract: The National Cancer Institute (NCI) is interested in supporting the development of an image database for lung cancer screening using spiral x-ray CT. A cooperative agreement is envisioned that will involve applications from investigators who are interested in joining a consortium of institutions to construct such a database as a public resource. The intent is to develop standards for generating the database resource and to allow this database to be used for evaluating computer aided diagnostic (CAD) software methods. Initial interest is focused on spiral CT of the lung because of the recent interest in using this imaging modality for lung cancer screening for patients at high risk, where early intervention may significantly reduce cancer mortality rates. The use of CAD methods is rapidly emerging for this large-scale cancer screening application as these methods have the potential of improving the efficiency of screening. Lung imaging is a good physical model in that it involves the use of 3D CAD methods that require critical software optimization for both detection and classification. In addition, the detection of change in the CT images over time, or changes in lung nodule size, has the potential to provide either improved early cancer detection or improved classification. !1
机译:摘要:美国国家癌症研究所(NCI)有兴趣支持开发使用螺旋X射线CT筛查肺癌的图像数据库。设想了一项合作协议,其中涉及有兴趣加入机构联盟以将这样的数据库构建为公共资源的调查员的申请。目的是开发用于生成数据库资源的标准,并允许将该数据库用于评估计算机辅助诊断(CAD)软件方法。最初的兴趣集中在肺部螺旋CT上,因为最近有兴趣使用这种成像方式对高风险患者进行肺癌筛查,在这种情况下,早期干预可以显着降低癌症死亡率。对于这种大规模的癌症筛查应用,CAD方法的使用正在迅速兴起,因为这些方法具有提高筛查效率的潜力。肺部成像是一个很好的物理模型,因为它涉及3D CAD方法的使用,这些方法需要对检测和分类进行关键软件优化。另外,随着时间的推移CT图像的改变或肺结节大小的改变的检测具有提供改善的早期癌症检测或改善的分类的潜力。 !1

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