Proposing a deep learning-based method for improving the diagnostic certainty of pulmonary nodules in CT scan of chest.

Journal: European radiology
Published Date: May 6, 2021

Abstract

OBJECTIVE: To compare the performance of a deep learning (DL)-based method for diagnosing pulmonary nodules compared with radiologists' diagnostic approach in computed tomography (CT) of the chest.

Authors

  • Ya-Wen Wang
    School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Jian-Wei Wang
    Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China. dr_jianweiwang@163.com.
  • Shou-Xin Yang
    Department of Diagnostic Radiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Lin-Lin Qi
    Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
  • Hao-Liang Lin
    Deepwise AI Lab, Beijing, China.
  • Zhen Zhou
    Deepwise Healthcare, Beijing 100080, China.
  • Yi-Zhou Yu
    Deepwise AI Lab, Deepwise Inc., No. 8 Haidian avenue, Sinosteel International Plaza, Beijing, 100080, China.

Keywords

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