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The results in the clinical trial of CAD system for lung cancer using helical CT images

机译:螺旋CT图像在肺癌CAD系统临床试验中的结果。

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We have developed a computer assisted automatic detection system for lung cancer that detects tumor candidates at an early stage from 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 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. We describe the results of nodule detection for 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.
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,该系统可以从螺旋CT图像中早期检测出候选肿瘤。 1997年7月,我们前瞻性地使用我们的系统开始了比较田间试验。通过螺旋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。然而,基于螺旋CT图像的大量筛查导致相当多的图像要被诊断。我们希望我们的系统可以减少时间复杂度并提高诊断信心。我们描述结节检测的结果,以进行明确的诊断。我们显示了预期结果和回顾性结果。这些结果表明该系统可以在早期阶段成功检测出肺癌候选者,并可以应用于大规模筛查。

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