Automated detection of pneumonia cases using deep transfer learning with paediatric chest X-ray images.

Journal: The British journal of radiology
Published Date:

Abstract

OBJECTIVE: Pneumonia is a lung infection and causes the inflammation of the small air sacs (Alveoli) in one or both lungs. Proper and faster diagnosis of pneumonia at an early stage is imperative for optimal patient care. Currently, chest X-ray is considered as the best imaging modality for diagnosing pneumonia. However, the interpretation of chest X-ray images is challenging. To this end, we aimed to use an automated convolutional neural network-based transfer-learning approach to detect pneumonia in paediatric chest radiographs.

Authors

  • Mohammad Salehi
    Department of Medical Physics, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
  • Reza Mohammadi
    Department of Operation Management, Amsterdam Business School, University of Amsterdam, Amsterdam, Netherlands.
  • Hamed Ghaffari
    Department of Medical Physics, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
  • Nahid Sadighi
    Advanced Diagnostic & Interventional Radiology ResearchCenter (ADIR), Tehran University of Medical Sciences (TUMS), Tehran, Iran.
  • Reza Reiazi
    Department of Medical Physics, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.