The effect of Gaussian noise on pneumonia detection on chest radiographs, using convolutional neural networks.

Journal: Radiography (London, England : 1995)
Published Date: Oct 20, 2022

Abstract

INTRODUCTION: Chest X-rays (CXR) with under-exposure increase image noise and this may affect convolutional neural network (CNN) performance. This study aimed to train and validate CNNs for classifying pneumonia on CXR as normal or pneumonia acquired at different image noise levels.

Authors

  • M W Kusk
    Department of Radiology and Nuclear Medicine, Hospital of South West Jutland, University Hospital of Southern Denmark, Esbjerg, Denmark.
  • S Lysdahlgaard
    Department of Radiology and Nuclear Medicine, Hospital of South West Jutland, University Hospital of Southern Denmark, Esbjerg, Denmark; Department of Regional Health Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark; Imaging Research Initiative Southwest (IRIS), Hospital of South West Jutland, University Hospital of Southern Denmark, Esbjerg, Denmark. Electronic address: Simon.Lysdahlgaard@rsyd.dk.

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