Deep learning-based CAD schemes for the detection and classification of lung nodules from CT images: A survey.

Journal: Journal of X-ray science and technology
Published Date:

Abstract

BACKGROUND: Lung cancer is the most common cancer in the world. Computed tomography (CT) is the standard medical imaging modality for early lung nodule detection and diagnosis that improves patient's survival rate. Recently, deep learning algorithms, especially convolutional neural networks (CNNs), have become a preferred methodology for developing computer-aided detection and diagnosis (CAD) schemes of lung CT images.

Authors

  • Rekka Mastouri
    University of Tunis el Manar, Higher Institute of Medical Technologies of Tunis, Research Laboratory of Biophysics and Medical Technologies, 1006 Tunis, Tunisia.
  • Nawres Khlifa
    University of Tunis el Manar, Higher Institute of Medical Technologies of Tunis, Research Laboratory of Biophysics and Medical Technologies, 1006 Tunis, Tunisia.
  • Henda Neji
    University of Tunis el Manar, Faculty of Medicine of Tunis, 1007 Tunis, Tunisia.
  • Saoussen Hantous-Zannad
    University of Tunis el Manar, Faculty of Medicine of Tunis, 1007 Tunis, Tunisia.