A comparison of the fusion model of deep learning neural networks with human observation for lung nodule detection and classification.

Journal: The British journal of radiology
PMID: 34111976

Abstract

OBJECTIVES: To compare the diagnostic performance of a newly developed artificial intelligence (AI) algorithm derived from the fusion of convolution neural networks (CNN) versus human observers in the estimation of malignancy risk in pulmonary nodules.

Authors

  • Aysegul Gursoy Coruh
    Ankara University, School Of Medicine, Radiology, Ankara, Turkey.
  • Bülent Yenigün
    Department of Thoracic Surgery, School of Medicine, Ankara University, Ankara, Turkey.
  • Caglar Uzun
    Ankara University, School Of Medicine, Radiology, Ankara, Turkey.
  • Yusuf Kahya
    Department of Thoracic Surgery, School of Medicine, Ankara University, Ankara, Turkey.
  • Emre Utkan Büyükceran
    Department of Radiology, School of Medicine, Ankara University, Ankara, Turkey.
  • Atilla Elhan
    Department of Biostatistics, School of Medicine, Ankara University, Ankara, Turkey.
  • Kaan Orhan
    Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Dentomaxillofacial Radiologist, Ankara University, Ankara, Turkey.
  • Ayten Kayı Cangır
    Department of Thoracic Surgery, School of Medicine, Ankara University, Ankara, Turkey.

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