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A Prospective Study of CAD System for Lung Cancer based on Helical CT Image

机译:基于螺旋CT图像的肺癌CAD系统的前瞻性研究

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Chest CT images obtained by CT scanner have drawn a great interest in suspicious region detection. However, mass screening based on CT images leads a considerable number of images to be diagnosed. CAD system for lung cancer that detects tumor candidates at early stage from CT images has developed. In July 1997, clinical trial using first version of the CAD system in Anti-Lung Cancer Association (National Cancer Center Hospital and National Cancer Hospital East) started. As following stage, clinical trial using second version of the CAD system that supports comparative reading function started in April 2002. We expect that CAD system reduces diagnosis time and increase the reliability. In this paper, we describe the clinical trial results using the CAD system from July 1997 and the detection results of the CAD system for supporting mass screening in a prospective study. The results show that the CAD system improves diagnostic accuracy and throughput. And we describe the future of CAD system.
机译:通过CT扫描仪获得的胸部CT图像引起了对可疑区域检测的极大兴趣。但是,基于CT图像的大量筛选会导致大量图像被诊断。已经开发了用于肺癌的CAD系统,该系统可以从CT图像中早期检测出候选肿瘤。 1997年7月,在抗肺癌协会(美国国家癌症中心医院和美国国家癌症医院)开始使用第一版CAD系统进行临床试验。在随后的阶段中,使用支持比较阅读功能的第二版CAD系统的临床试验于2002年4月开始。我们希望CAD系统能够缩短诊断时间并提高可靠性。在本文中,我们描述了从1997年7月开始使用CAD系统的临床试验结果以及在前瞻性研究中支持大规模筛查的CAD系统的检测结果。结果表明,CAD系统提高了诊断准确性和吞吐量。并且我们描述了CAD系统的未来。

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