Detection of rheumatoid arthritis from hand radiographs using a convolutional neural network.

Journal: Clinical rheumatology
Published Date: Mar 8, 2019

Abstract

INTRODUCTION: Plain hand radiographs are the first-line and most commonly used imaging methods for diagnosis or differential diagnosis of rheumatoid arthritis (RA) and for monitoring disease activity. In this study, we used plain hand radiographs and tried to develop an automated diagnostic method using the convolutional neural networks to help physicians while diagnosing rheumatoid arthritis.

Authors

  • Kemal Üreten
    Department of Rheumatology, Faculty of Medicine, Kırıkkale University, 71450, Kırıkkale, Turkey. kemalureten@yahoo.com.
  • Hasan Erbay
    Department of Computer Engineering, Faculty of Engineering, Kırıkkale University, Kırıkkale, Turkey.
  • Hadi Hakan Maraş
    Department of Computer Engineering, Faculty of Engineering, Çankaya University, Ankara, Turkey.

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