Computer-Aided Diagnosis of Pulmonary Fibrosis Using Deep Learning and CT Images.

Journal: Investigative radiology
Published Date: Oct 1, 2019

Abstract

OBJECTIVES: The objective of this study is to assess the performance of a computer-aided diagnosis (CAD) system (INTACT system) for the automatic classification of high-resolution computed tomography images into 4 radiological diagnostic categories and to compare this with the performance of radiologists on the same task.

Authors

  • Andreas Christe
  • Alan A Peters
    From the Departments of Diagnostic, Interventional, and Pediatric Radiology.
  • Dionysios Drakopoulos
    From the Departments of Diagnostic, Interventional, and Pediatric Radiology.
  • Johannes T Heverhagen
    From the Departments of Diagnostic, Interventional, and Pediatric Radiology.
  • Thomas Geiser
  • Thomai Stathopoulou
  • Stergios Christodoulidis
  • Marios Anthimopoulos
  • Stavroula G Mougiakakou
    Diabetes Technology Research Group, ARTORG Center for Biomedical Engineering Research, University of Bern, Murtenstrasse 50, 3008 Bern, Switzerland.
  • Lukas Ebner

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