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Computerized detection of lung nodules through radiomics

机译:通过射线学的肺结节的计算机化检测

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摘要

Purpose: Lung cancer is a major cause of cancer deaths, and the 5-year survival rate of stage IV lung cancer patients is only 2%. However, the 5-year survival rate of stage I lung cancer patients significantly increases to 50%. As such, spiral computed tomography (CT) scans are necessary to diagnose high-risk lung cancer patients in early stages. In this study, a computer-aided detection (CAD) system with radiomics was proposed. This system could automatically detect pulmonary nodules and reduce radiologists' workloads and human errors.
机译:目的:肺癌是癌症死亡的主要原因,阶段IV肺癌患者的5年生存率仅为2%。 然而,5年的阶段生存率I肺癌患者显着增加至50%。 因此,螺旋计算断层扫描(CT)扫描是诊断早期阶段高危肺癌患者所必需的。 在本研究中,提出了一种具有射线组学的计算机辅助检测(CAD)系统。 该系统可以自动检测肺结核并减少放射科学家的工作负载和人为错误。

著录项

  • 来源
    《Medical Physics》 |2017年第8期|共11页
  • 作者单位

    Shanghai Jiao Tong Univ Sch Biomed Engn Shanghai 200240 Peoples R China;

    Shanghai Jiao Tong Univ Sch Med Ren Ji Hosp Dept Radiol Shanghai 200127 Peoples R China;

    Shanghai Jiao Tong Univ Sch Biomed Engn Shanghai 200240 Peoples R China;

    Shanghai Jiao Tong Univ Sch Biomed Engn Shanghai 200240 Peoples R China;

    Shanghai Jiao Tong Univ Sch Biomed Engn Shanghai 200240 Peoples R China;

    Shanghai Jiao Tong Univ Sch Biomed Engn Shanghai 200240 Peoples R China;

    Shanghai Jiao Tong Univ Sch Biomed Engn Shanghai 200240 Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 基础医学;
  • 关键词

    CAD; lung nodule detection; radiomics; random forest; synthetic minority over-sampling;

    机译:CAD;肺结节检测;辐射瘤;随机森林;合成少数群体过度抽样;

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