Distinguishing nontuberculous mycobacteria from Mycobacterium tuberculosis lung disease from CT images using a deep learning framework.

Journal: European journal of nuclear medicine and molecular imaging
Published Date:

Abstract

PURPOSE: To develop and evaluate the effectiveness of a deep learning framework (3D-ResNet) based on CT images to distinguish nontuberculous mycobacterium lung disease (NTM-LD) from Mycobacterium tuberculosis lung disease (MTB-LD).

Authors

  • Li Wang
    College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China.
  • Wenlong Ding
    Haihe Hospital, Tianjin University, Tianjin Institute of Respiratory Diseases, Tianjin, China.
  • Yan Mo
    Deepwise AI Lab, Beijing Deepwise& League of PHD Technology Co., Ltd, Haidian District, 21st Floor, China Sinosteel Plaza, NO. 8, Haidian Avenue, Beijing, 100080, People's Republic of China.
  • Dejun Shi
    LinkingMed, Beijing, 100000, China.
  • Shuo Zhang
    Ph.D. Program in Computer Science, The City University of New York, New York, NY, United States.
  • Lingshan Zhong
    Haihe Hospital, Tianjin University, Tianjin Institute of Respiratory Diseases, Tianjin, China.
  • Kai Wang
    Department of Rheumatology, The Affiliated Huai'an No. 1 People's Hospital of Nanjing Medical University, Huai'an, Jiangsu, China.
  • Jigang Wang
    Haihe Hospital, Tianjin University, Tianjin Institute of Respiratory Diseases, Tianjin, China.
  • Chencui Huang
    Department of Research Collaboration, R&D Center, Beijing Deepwise & League of PHD Technology Co., Ltd., Beijing, China.
  • Shu Zhang
    State University of New York, Department of Radiology, Stony Brook, New York, United States.
  • Zhaoxiang Ye
    Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Huanhuxi Road, Hexi District, Tianjin 300060, China. Electronic address: yezhaoxiang@163.com.
  • Jun Shen
    Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, China. shenjun@mail.sysu.edu.cn.
  • Zhiheng Xing
    Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin, China.