Prediction of pathologic stage in non-small cell lung cancer using machine learning algorithm based on CT image feature analysis.

Journal: BMC cancer
Published Date: May 17, 2019

Abstract

PURPOSE: To explore imaging biomarkers that can be used for diagnosis and prediction of pathologic stage in non-small cell lung cancer (NSCLC) using multiple machine learning algorithms based on CT image feature analysis.

Authors

  • Lingming Yu
    Department of Radiology, Shanghai Chest Hospital, The Affiliated Chest Hospital of Shanghai Jiaotong University, No. 241 Huaihai West Road, Xuhui District, Shanghai, 200030, China.
  • Guangyu Tao
    Department of Radiology, Shanghai Chest Hospital, The Affiliated Chest Hospital of Shanghai Jiaotong University, No. 241 Huaihai West Road, Xuhui District, Shanghai, 200030, China.
  • Lei Zhu
    School of Civil and Hydraulic Engineering, Ningxia University, Yinchuan, China.
  • Gang Wang
    National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
  • Ziming Li
  • Jianding Ye
    Department of Radiology, Shanghai Chest Hospital, The Affiliated Chest Hospital of Shanghai Jiaotong University, No. 241 Huaihai West Road, Xuhui District, Shanghai, 200030, China. yejiandingchest@sohu.com.
  • Qunhui Chen
    Department of Radiology, Shanghai Chest Hospital, The Affiliated Chest Hospital of Shanghai Jiaotong University, No. 241 Huaihai West Road, Xuhui District, Shanghai, 200030, China. chenqunhui312@163.com.

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