Diagnosis of Pneumonia from Chest X-Ray Images Using Deep Learning

By Enes Ayan, Halil Murat Ünver. 2019 Scientific Meeting on Electrical-Electronics & Biomedical Engineering and Computer Science (EBBT), 2019

315 citations recorded by the source corpus.

Pneumonia is a disease which occurs in the lungs caused by a bacterial infection. Early diagnosis is an important factor in terms of the successful treatment process. Generally, the disease can be diagnosed from chest X-ray images by an expert radiologist. The diagnoses can be subjective for some reasons such as the appearance of disease which can be unclear in chest X-ray images or can be confused with other diseases. Therefore, computer-aided diagnosis systems are needed to guide the clinicians. In this study, we used two well-known convolutional neural network models Xception and Vgg16 for diagnosing of pneumonia. We used transfer learning and fine-tuning in our training stage. The test results showed that Vgg16 network exceed Xception network at the accuracy with 0.87%, 0.82% respectively. However, the Xception network achieved a more successful result in detecting pneumonia cases. As a result, we realized that every network has own special capabilities on the same dataset.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/041490e8c3349b95d162152bdd57f7d889f5c23f

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In Artificial Intelligence

  1. Nour Eldeen M. Khalifa
  2. Mohamed Loey
  3. D. Jude Hemanth
  4. Tawsifur Rahman
  5. Meenu Gupta
  6. Soham Taneja
  7. Amith Abdullah Khandakar
  8. Florentin Smarandache

In Computer Vision and Pattern Recognition

  1. D. Jude Hemanth
  2. Muhammad Abdul Kadir
  3. Tawsifur Rahman
  4. Khandaker F. Islam
  5. Khandaker Reajul Islam
  6. Meenu Gupta
  7. Soham Taneja
  8. Amith Abdullah Khandakar

In Radiology, Nuclear Medicine and Imaging

  1. Nour Eldeen M. Khalifa
  2. Mohamed Loey
  3. D. Jude Hemanth
  4. Muhammad Abdul Kadir
  5. Tawsifur Rahman
  6. Khandaker F. Islam
  7. Khandaker Reajul Islam
  8. Meenu Gupta

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