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The clinical test results of computer aided detection system for lung cancer using helical CT images

机译:螺旋CT图像计算机辅助检测系统的临床试验结果

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We have developed a computer assisted automatic detection system for lung cancer that detects tumor candidates at an early stage form helical CT images. In July 1997, we started the comparative field trial using our system prospectively. Chest CT images obtained by helical CT scanner have drawn a great interest in the detection of suspicious regions. However, mass screening based on helical CT images leads to a considerable number of images to be diagnosed. We expect that our system can reduce the time complexity and increase diagnostic confidence. In this paper, we describe the detection results of the system for the nodules of definite diagnosis. We show the prospective results and the retrospective results. These results show that the system can detect lung cancer candidates at an early stage successfully and can be applied to a mass screening. In addition, we describe the necessity of the CAD system having the function which can be compared with the previous CT images.
机译:我们已经开发了一种用于肺癌的计算机辅助自动检测系统,可在早期阶段形成螺旋CT图像的肿瘤候选。 1997年7月,我们开始使用我们的系统前瞻性的比较实地试验。通过螺旋CT扫描仪获得的胸部CT图像对可疑地区的检测感到非常兴趣。然而,基于螺旋CT图像的质量筛选导致待诊断数量的图像。我们希望我们的系统可以减少时间复杂性并提高诊断信心。在本文中,我们描述了系统结节的系统的检测结果。我们展示了前瞻性结果和回顾性结果。这些结果表明,该系统可以成功地在早期阶段检测肺癌候选物,可以应用于质量筛选。此外,我们描述了具有功能的CAD系统的必要性,该功能可以与先前的CT图像进行比较。

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