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PNEUMONIA DETECTION USING CHEST X-RAY IMAGES

  • Unique Paper ID: 161493
  • Volume: 10
  • Issue: 4
  • PageNo: 369-374
  • Abstract:
  • Pneumonia is among the top diseases which cause most of the deaths all over the world. Virus, bacteria and fungi can all cause pneumonia. However, it is difficult to judge the pneumonia just by looking at chest X-rays. The aim of this study is to simplify the pneumonia detection process for experts as well as for novices. We suggest a novel deep learning framework for the detection of pneumonia using the concept of transfer learning. In this approach, features from images are extracted using different neural network models pre-trained on Image Net, which then are fed into a classifier for prediction. We prepared five different models and analyzed their performance. Thereafter, we proposed an ensemble model that combines outputs from all pre-trained models, which outperformed individual models, reaching the state-of-the-art performance in pneumonia recognition. Our ensemble model reached an accuracy of 96.4% with a recall of 99.62% on unseen data from the Guangzhou Women and Children’s Medical Center dataset.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 10
  • Issue: 4
  • PageNo: 369-374

PNEUMONIA DETECTION USING CHEST X-RAY IMAGES

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Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

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