Applying a CT texture analysis model trained with deep-learning reconstruction images to iterative reconstruction images in pulmonary nodule diagnosis.

Journal: Journal of applied clinical medical physics
Published Date: Aug 23, 2022

Abstract

OBJECTIVE: To investigate the feasibility and accuracy of applying a computed tomography (CT) texture analysis model trained with deep-learning reconstruction images to iterative reconstruction images for classifying pulmonary nodules.

Authors

  • Qingle Wang
    Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Shijie Xu
    Shanghai United Imaging Healthcare, Shanghai, China.
  • Guozhi Zhang
    Department of Radiology, KU Leuven University Hospitals Leuven, Leuven, Belgium.
  • Xingwei Zhang
    Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Junying Gu
    Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Shuyi Yang
    Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Mengsu Zeng
    Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Zhiyong Zhang

Keywords

External Resources

Popular Topics
Recent Journals