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New NCI initiatives in computer-aided diagnosis

机译：新的NCI在计算机辅助诊断中的举措

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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.
机译：国家癌症研究所（NCI）有兴趣使用螺旋X射线CT支持肺癌筛查的图像数据库的开发。设想了合作协议，这些协议将涉及有兴趣加入机构联盟的调查人员的申请，以构建这样一个数据库作为公共资源。意图是开发用于生成数据库资源的标准，并允许该数据库用于评估计算机辅助诊断（CAD）软件方法。最初的兴趣专注于肺的螺旋CT，因为近期使用这种成像模型对高风险患者的肺癌筛查的兴趣，早期干预可能会显着降低癌症死亡率。使用CAD方法的使用对于这种大规模的癌症筛查应用，因此这些方法具有提高筛选效率的潜力。肺成像是一种很好的物理模型，因为它涉及使用需要关键软件优化的3D CAD方法来检测和分类。另外，随着时间的推移检测CT图像的变化，或肺结节尺寸的变化，具有能够提供改善的早期癌症检测或改进的分类。

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