Overview of Computer Aided Detection and Computer Aided Diagnosis Systems for Lung Nodule Detection in Computed Tomography.

Journal: Current medical imaging reviews
Published Date: Jan 1, 2020

Abstract

BACKGROUND: Lung cancer has become a major cause of cancer-related deaths. Detection of potentially malignant lung nodules is essential for the early diagnosis and clinical management of lung cancer. In clinical practice, the interpretation of Computed Tomography (CT) images is challenging for radiologists due to a large number of cases. There is a high rate of false positives in the manual findings. Computer aided detection system (CAD) and computer aided diagnosis systems (CADx) enhance the radiologists in accurately delineating the lung nodules.

Authors

  • Shabana Rasheed Ziyad
    Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin AbdulAziz University, Al Kharj, Saudi Arabia.
  • Venkatachalam Radha
    Department of Computer Science, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, India.
  • Thavavel Vayyapuri
    Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin AbdulAziz University, Al Kharj, Saudi Arabia.

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