Development and validation of a deep learning ultrasound radiomics model for predicting drug resistance in lymph node tuberculosis a multicenter study.

Journal: International journal of surgery (London, England)
Published Date:

Abstract

BACKGROUND: To develop and validate an ensemble machine learning ultrasound radiomics model for predicting drug resistance in lymph node tuberculosis (LNTB).

Authors

  • Xu Zhang
    China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
  • Zhijian Dong
    Department of Ultrasonography, Kunming Third People's Hospital, Kunming, Ynunan, China.
  • Hongming Li
    6Center for Biomedical Image Computing and Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Yijing Cheng
    Department of Ultrasonography, Kunming Third People's Hospital, Kunming, Ynunan, China.
  • Wei Tang
    Hepato-Biliary-Pancreatic Surgery Division, Department of Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Tu Ni
    Department of Ultrasonography, Hangzhou Red Cross Hospital, Hangzhou, Zhejiang, China.
  • Ying Zhang
    Department of Nephrology, Nanchong Central Hospital Affiliated to North Sichuan Medical College, Nanchong, China.
  • Qinqin Ai
    Department of Hepatology, Hangzhou Xixi Hospital, Hangzhou, China.
  • Gaoyi Yang
    Department of Ultrasonography, Hangzhou Red Cross Hospital, Hangzhou, Zhejiang, China.

Keywords

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