HOW TO FOOL RADIOLOGISTS WITH GENERATIVE ADVERSARIAL NETWORKS? A VISUAL TURING TEST FOR LUNG CANCER DIAGNOSIS Proceedings Paper

cited authors

  • Chuquicusma, Maria J. M.; Hussein, Sarfaraz; Burt, Jeremy; Bagci, Ulas; IEEE

authors

Publication Date

  • January 1, 2018

webpage

published in

category

keywords

  • Computed Tomography (CT)
  • Computer Aided Diagnosis (CAD) systems
  • Deep learning
  • Generated samples
  • Generative Adversarial Networks (GANs)
  • Lung nodules
  • Visual Turing Test

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  • 240

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  • 244