Computed Tomography-Based Deep Learning Model for Assessing the Severity of Patients With Connective Tissue Disease-Associated Interstitial Lung Disease.

Journal: Journal of computer assisted tomography
PMID: 37707403

Abstract

OBJECTIVES: This study aimed to develop a computed tomography (CT)-based deep learning model for assessing the severity of patients with connective tissue disease (CTD)-associated interstitial lung disease (ILD).

Authors

  • Ningling Su
    From the Department of Radiology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University.
  • Fan Hou
    Institute of Public-Safety and Big Data, College of Data Science, Taiyuan University of Technology, Taiyuan.
  • Wen Zheng
    College of Data Science, Taiyuan University of Technology, Taiyuan, 030024, China.
  • Zhifeng Wu
    From the Department of Radiology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University.
  • Linning E
    Department of Radiology, People's Hospital of Longhua, Shenzhen, China.

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