Deep learning radiomics on shear wave elastography and b-mode ultrasound videos of diaphragm for weaning outcome prediction.

Journal: Medical engineering & physics
PMID: 38365343

Abstract

PURPOSE: We proposed an automatic method based on deep learning radiomics (DLR) on shear wave elastography (SWE) and B-mode ultrasound videos of diaphragm for two classification tasks, one for differentiation between the control and patient groups, and the other for weaning outcome prediction.

Authors

  • Changchun Li
    School of Surveying and Mapping Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China.
  • Yan Liu
    Department of Clinical Microbiology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, People's Republic of China.
  • Rui Dong
    College of Physical Education, South China Normal University, Guangzhou, China.
  • Tianjie Zhang
    Department of Ultrasonography, Zhoupu Hospital Affiliated to Shanghai University of Medicine & Health Sciences, Shanghai, China.
  • Ye Song
    Department of Ultrasonography, Zhoupu Hospital Affiliated to Shanghai University of Medicine & Health Sciences, Shanghai, China. Electronic address: songye@tongji.edu.cn.
  • Qi Zhang
    Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, China.

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