Deep multi-instance transfer learning for pneumothorax classification in chest X-ray images.

Journal: Medical physics
Published Date: Dec 7, 2021

Abstract

PURPOSE: Pneumothorax is a life-threatening emergency that requires immediate treatment. Frontal-view chest X-ray images are typically used for pneumothorax detection in clinical practice. However, manual review of radiographs is time-consuming, labor-intensive, and highly dependent on the experience of radiologists, which may lead to misdiagnosis. Here, we aim to develop a reliable automatic classification method to assist radiologists in rapidly and accurately diagnosing pneumothorax in frontal chest radiographs.

Authors

  • Yuchi Tian
    Academy of Engineering and Technology, Fudan University, Shanghai, China.
  • Jiawei Wang
    Biomedicine Discovery Institute, Monash University, VIC 3800, Australia.
  • Wenjie Yang
    Department of Radiology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China. lisa_ywj@163.com.
  • Jun Wang
    Department of Speech, Language, and Hearing Sciences and the Department of Neurology, The University of Texas at Austin, Austin, TX 78712, USA.
  • Dahong Qian

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