A multiscale 3D network for lung nodule detection using flexible nodule modeling.

Journal: Medical physics
Published Date: Jul 1, 2024

Abstract

BACKGROUND: Lung cancer is the most common type of cancer. Detection of lung cancer at an early stage can reduce mortality rates. Pulmonary nodules may represent early cancer and can be identified through computed tomography (CT) scans. Malignant risk can be estimated based on attributes like size, shape, location, and density.

Authors

  • Wenjia Song
    School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Australia.
  • Fangfang Tang
    School of Information Technology and Electrical Engineering, the University of Queensland, Brisbane, Australia.
  • Henry Marshall
    UQ Thoracic Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Australia.
  • Kwun M Fong
    UQ Thoracic Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Australia.
  • Feng Liu
    Department of Vascular and Endovascular Surgery, The First Medical Center of Chinese PLA General Hospital, 100853 Beijing, China.

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